4,929 Solutions Big Data jobs in the United States
Senior Data Management Professional - Data Engineering
10176 New York, New York
Bloomberg
Posted 8 days ago
Job Viewed
Job Description
Senior Data Management Professional - Data Engineering
Location
New York
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes.
**Our Team:**
The Bloomberg Data AI group brings innovative AI technologies into Bloomberg's Data organization while supplying deep financial domain expertise to the development of AI-powered products. We partner closely with team members to align AI innovation with Bloomberg's strategic objectives, focusing on optimizing data workflows and elevating the quality, intelligence, and usability of the data that drives our products. Our work amplifies the impact of the Data organization by delivering intelligent data solutions and domain-informed systems that improve the capabilities and competitiveness of Bloomberg's offerings.
**What's the Role?**
A Senior Data Management Professional (DMP) is a key role within our organization responsible for providing domain expertise in both financial concepts and annotation program management, to the development of our AI products. These individuals act as proactive technical leaders by setting the framework in achieving quality and consistency in the evaluation and training datasets for models that power our AI-enhanced products, and delivering scalable governance in annotation program management across Bloomberg Data. Beyond governing data processes and being problem solvers, they are expected to transform the responsibilities of the team and scale the impact beyond what's possible today.
The role in the Data AI Annotation team covers all annotation program components in developing the evaluation and training of AI models at Bloomberg. Being responsible for the quality of the annotated data, and product quality will be a crucial part of the role, with key work spanning ownership around consensus management, adjudication, and instruction and task design. The team is a critical partner in ensuring the stability and growth of the company which relies on bringing new technology to customers with increased interests in Artificial Intelligence.
**We'll trust you to:**
+ Build strategies to analyze processes and data engineering questions to ensure our datasets are fit-for-purpose.
+ Safeguard the creation of high-quality training data for generative AI models in collaboration with the annotation project coordinator.
+ Collaborate on database schema design and configure ETL pipelines to onboard new data sets.
+ Leverage data annotation tools and platforms, including labeling software and data management systems to ensure quality.
+ Apply domain expertise to inform annotation decisions and ensure high-quality outputs.
+ Review and further improve annotation guidelines, and promote the development of standard processes in data annotation.
+ Rely upon data analysis skills to identify trends, patterns, and anomalies, and make informed decisions on annotation approaches.
+ Lead on problem-solving to resolve sophisticated annotation challenges and ensure data quality.
+ Stay up-to-date with industry trends and standard methodologies in data annotation and finance/news.
+ Be ready to take a hands-on role in project and product coordination when needed- with input from Technical specialist, Annotation manager and Senior annotators.
**You'll need to have:**
+ A bachelor's degree or above in Statistics, Data Analytics and Data Science or other STEM related fields.
+ A minimum of four years of demonstrable experience in data management concepts such as data engineering, data quality and data modeling.
+ Demonstrable experience in Data Profiling/Analysis/Engineering using tools such as SQL and Python or R.
+ Experience using data visualization tools such as Tableau, Qlik Sense or Splunk.
+ Past projects that involved owning financial datasets, or other demonstrable work with financial-market concepts.
+ Proficiency in discussing technical concepts and experience evaluating trade-offs in design with Engineering and Product.
+ Extensive experience in communicating results in a clear, concise manner using data visualization tools.
+ Consistent track record in taking a logical approach and applying critical thinking skills in order to address problems.
**We'd Love to See:**
+ DAMA CDMP or DCAM certifications.
+ Keen interest and familiarity with generative AI frameworks.
+ Understanding of the importance of high quality annotations.
+ Experience in using Bloomberg Data, Bloomberg Terminal, and/or enterprise financial data products.
+ Interest in solving problems and developing data-driven methodologies for high precision & high recall anomaly detection.
+ Past project experience using the Agile/Scrum project management methodology.
Does this sound like you?
Apply if you think we're a good match. We'll get in touch to let you know next steps!
Salary Range = - USD Annually + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Location
New York
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes.
**Our Team:**
The Bloomberg Data AI group brings innovative AI technologies into Bloomberg's Data organization while supplying deep financial domain expertise to the development of AI-powered products. We partner closely with team members to align AI innovation with Bloomberg's strategic objectives, focusing on optimizing data workflows and elevating the quality, intelligence, and usability of the data that drives our products. Our work amplifies the impact of the Data organization by delivering intelligent data solutions and domain-informed systems that improve the capabilities and competitiveness of Bloomberg's offerings.
**What's the Role?**
A Senior Data Management Professional (DMP) is a key role within our organization responsible for providing domain expertise in both financial concepts and annotation program management, to the development of our AI products. These individuals act as proactive technical leaders by setting the framework in achieving quality and consistency in the evaluation and training datasets for models that power our AI-enhanced products, and delivering scalable governance in annotation program management across Bloomberg Data. Beyond governing data processes and being problem solvers, they are expected to transform the responsibilities of the team and scale the impact beyond what's possible today.
The role in the Data AI Annotation team covers all annotation program components in developing the evaluation and training of AI models at Bloomberg. Being responsible for the quality of the annotated data, and product quality will be a crucial part of the role, with key work spanning ownership around consensus management, adjudication, and instruction and task design. The team is a critical partner in ensuring the stability and growth of the company which relies on bringing new technology to customers with increased interests in Artificial Intelligence.
**We'll trust you to:**
+ Build strategies to analyze processes and data engineering questions to ensure our datasets are fit-for-purpose.
+ Safeguard the creation of high-quality training data for generative AI models in collaboration with the annotation project coordinator.
+ Collaborate on database schema design and configure ETL pipelines to onboard new data sets.
+ Leverage data annotation tools and platforms, including labeling software and data management systems to ensure quality.
+ Apply domain expertise to inform annotation decisions and ensure high-quality outputs.
+ Review and further improve annotation guidelines, and promote the development of standard processes in data annotation.
+ Rely upon data analysis skills to identify trends, patterns, and anomalies, and make informed decisions on annotation approaches.
+ Lead on problem-solving to resolve sophisticated annotation challenges and ensure data quality.
+ Stay up-to-date with industry trends and standard methodologies in data annotation and finance/news.
+ Be ready to take a hands-on role in project and product coordination when needed- with input from Technical specialist, Annotation manager and Senior annotators.
**You'll need to have:**
+ A bachelor's degree or above in Statistics, Data Analytics and Data Science or other STEM related fields.
+ A minimum of four years of demonstrable experience in data management concepts such as data engineering, data quality and data modeling.
+ Demonstrable experience in Data Profiling/Analysis/Engineering using tools such as SQL and Python or R.
+ Experience using data visualization tools such as Tableau, Qlik Sense or Splunk.
+ Past projects that involved owning financial datasets, or other demonstrable work with financial-market concepts.
+ Proficiency in discussing technical concepts and experience evaluating trade-offs in design with Engineering and Product.
+ Extensive experience in communicating results in a clear, concise manner using data visualization tools.
+ Consistent track record in taking a logical approach and applying critical thinking skills in order to address problems.
**We'd Love to See:**
+ DAMA CDMP or DCAM certifications.
+ Keen interest and familiarity with generative AI frameworks.
+ Understanding of the importance of high quality annotations.
+ Experience in using Bloomberg Data, Bloomberg Terminal, and/or enterprise financial data products.
+ Interest in solving problems and developing data-driven methodologies for high precision & high recall anomaly detection.
+ Past project experience using the Agile/Scrum project management methodology.
Does this sound like you?
Apply if you think we're a good match. We'll get in touch to let you know next steps!
Salary Range = - USD Annually + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
View Now
0
Senior Data Management Professional - Data Engineering - Commodities Data
08502 Belle Mead, New Jersey
Bloomberg
Posted today
Job Viewed
Job Description
Senior Data Management Professional - Data Engineering - Commodities Data
Location
Skillman
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data. Our products are powered by rich, timely information. We combine data and context to deliver the full picture to our clients-around the clock, around the world. In Data, we're responsible for delivering this information, news, and analytics through innovative technology-quickly and accurately.
Our Team
The Commodities Data team is responsible for onboarding, modeling, and maintaining data that is accurate, timely, and fit for purpose. More than 320,000 business leaders rely on the real-time financial information available on the Bloomberg Terminal. Our insights and intelligence help shape the commodities markets.
We manage data across power & gas, oil, carbon, agriculture, and metals. Our mission is to empower our clients with high-quality data to support their analysis of pricing and market fundamentals.
The Role
We're looking for an experienced Data Engineer with a passion for data and technology. You'll play a key role in designing and maintaining our data infrastructure, ensuring efficient, scalable, and reliable data pipelines. You'll lead the development of automated ETL processes, data remediation workflows, and quality controls.
You'll work closely with Product, Engineering, domain experts, and other stakeholders to understand data requirements and deliver impactful solutions. As a technical leader, you'll also guide design decisions, mentor team members, and take ownership of end-to-end project delivery to meet evolving client and market needs.
We'll trust you to
* Build and maintain scalable ETL pipelines to ingest, transform, and load data from various sources using Bloomberg technologies
* Develop and implement data quality strategies and governance frameworks
* Analyze internal processes to identify areas for improvement, engineering innovative, ML-driven workflows
* Deliver transparent, fit-for-purpose solutions for internal and external Commodities clients
* Collaborate with cross-functional teams (Data, Engineering, Product, and Sales) to drive strategic development
* Apply project management best practices to ensure technical initiatives meet requirements and timelines
* Use statistical methods and data visualization to communicate insights and track project outcomes
* Mentor junior team members, fostering growth, collaboration, and knowledge sharing
You'll need to have
* A bachelor's degree (or equivalent qualification) in Statistics, Computer Science, Quantitative Finance, or a related STEM field
* 4+ years of experience designing and implementing scalable data solutions and ETL pipelines across diverse data sources
* 4+ years of hands-on experience with Python and working with SQL/NoSQL databases
* Familiarity with various data formats (structured and unstructured), including PDF, HTML, XBRL, JSON, and CSV
* Excellent communication and interpersonal skills, with the ability to mentor and collaborate across distributed teams
* Proven experience in data quality management, including proactive strategy development and metric/reporting creation
* A passion for problem solving, process improvement, and innovation
* Strong project management skills and a customer-focused mindset
We'd love to see
* An advanced degree in a relevant field and/or Certified Data Management Professional (CDMP) accreditation (or working towards it)
* Experience working in commodities markets and with commodity data products
* Familiarity with Bloomberg products, Bloomberg Terminal workflows, or Bloomberg Data Services
* Knowledge of advanced statistical techniques, Machine Learning, Natural Language Processing, or AI in business use cases
* Project management experience using JIRA, QlikSense, or similar tools
Salary Range = - USD Annually + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Location
Skillman
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data. Our products are powered by rich, timely information. We combine data and context to deliver the full picture to our clients-around the clock, around the world. In Data, we're responsible for delivering this information, news, and analytics through innovative technology-quickly and accurately.
Our Team
The Commodities Data team is responsible for onboarding, modeling, and maintaining data that is accurate, timely, and fit for purpose. More than 320,000 business leaders rely on the real-time financial information available on the Bloomberg Terminal. Our insights and intelligence help shape the commodities markets.
We manage data across power & gas, oil, carbon, agriculture, and metals. Our mission is to empower our clients with high-quality data to support their analysis of pricing and market fundamentals.
The Role
We're looking for an experienced Data Engineer with a passion for data and technology. You'll play a key role in designing and maintaining our data infrastructure, ensuring efficient, scalable, and reliable data pipelines. You'll lead the development of automated ETL processes, data remediation workflows, and quality controls.
You'll work closely with Product, Engineering, domain experts, and other stakeholders to understand data requirements and deliver impactful solutions. As a technical leader, you'll also guide design decisions, mentor team members, and take ownership of end-to-end project delivery to meet evolving client and market needs.
We'll trust you to
* Build and maintain scalable ETL pipelines to ingest, transform, and load data from various sources using Bloomberg technologies
* Develop and implement data quality strategies and governance frameworks
* Analyze internal processes to identify areas for improvement, engineering innovative, ML-driven workflows
* Deliver transparent, fit-for-purpose solutions for internal and external Commodities clients
* Collaborate with cross-functional teams (Data, Engineering, Product, and Sales) to drive strategic development
* Apply project management best practices to ensure technical initiatives meet requirements and timelines
* Use statistical methods and data visualization to communicate insights and track project outcomes
* Mentor junior team members, fostering growth, collaboration, and knowledge sharing
You'll need to have
* A bachelor's degree (or equivalent qualification) in Statistics, Computer Science, Quantitative Finance, or a related STEM field
* 4+ years of experience designing and implementing scalable data solutions and ETL pipelines across diverse data sources
* 4+ years of hands-on experience with Python and working with SQL/NoSQL databases
* Familiarity with various data formats (structured and unstructured), including PDF, HTML, XBRL, JSON, and CSV
* Excellent communication and interpersonal skills, with the ability to mentor and collaborate across distributed teams
* Proven experience in data quality management, including proactive strategy development and metric/reporting creation
* A passion for problem solving, process improvement, and innovation
* Strong project management skills and a customer-focused mindset
We'd love to see
* An advanced degree in a relevant field and/or Certified Data Management Professional (CDMP) accreditation (or working towards it)
* Experience working in commodities markets and with commodity data products
* Familiarity with Bloomberg products, Bloomberg Terminal workflows, or Bloomberg Data Services
* Knowledge of advanced statistical techniques, Machine Learning, Natural Language Processing, or AI in business use cases
* Project management experience using JIRA, QlikSense, or similar tools
Salary Range = - USD Annually + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
View Now
1
Senior Data Management Professional - Data Engineering - Commodities Data
10176 New York, New York
Bloomberg
Posted today
Job Viewed
Job Description
Senior Data Management Professional - Data Engineering - Commodities Data
Location
New York
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data. Our products are powered by rich, timely information. We combine data and context to deliver the full picture to our clients-around the clock, around the world. In Data, we're responsible for delivering this information, news, and analytics through innovative technology-quickly and accurately.
Our Team
The Commodities Data team is responsible for onboarding, modeling, and maintaining data that is accurate, timely, and fit for purpose. More than 320,000 business leaders rely on the real-time financial information available on the Bloomberg Terminal. Our insights and intelligence help shape the commodities markets.
We manage data across power & gas, oil, carbon, agriculture, and metals. Our mission is to empower our clients with high-quality data to support their analysis of pricing and market fundamentals.
The Role
We're looking for an experienced Data Engineer with a passion for data and technology. You'll play a key role in designing and maintaining our data infrastructure, ensuring efficient, scalable, and reliable data pipelines. You'll lead the development of automated ETL processes, data remediation workflows, and quality controls.
You'll work closely with Product, Engineering, domain experts, and other stakeholders to understand data requirements and deliver impactful solutions. As a technical leader, you'll also guide design decisions, mentor team members, and take ownership of end-to-end project delivery to meet evolving client and market needs.
We'll trust you to
* Build and maintain scalable ETL pipelines to ingest, transform, and load data from various sources using Bloomberg technologies
* Develop and implement data quality strategies and governance frameworks
* Analyze internal processes to identify areas for improvement, engineering innovative, ML-driven workflows
* Deliver transparent, fit-for-purpose solutions for internal and external Commodities clients
* Collaborate with cross-functional teams (Data, Engineering, Product, and Sales) to drive strategic development
* Apply project management best practices to ensure technical initiatives meet requirements and timelines
* Use statistical methods and data visualization to communicate insights and track project outcomes
* Mentor junior team members, fostering growth, collaboration, and knowledge sharing
You'll need to have
* A bachelor's degree (or equivalent qualification) in Statistics, Computer Science, Quantitative Finance, or a related STEM field
* 4+ years of experience designing and implementing scalable data solutions and ETL pipelines across diverse data sources
* 4+ years of hands-on experience with Python and working with SQL/NoSQL databases
* Familiarity with various data formats (structured and unstructured), including PDF, HTML, XBRL, JSON, and CSV
* Excellent communication and interpersonal skills, with the ability to mentor and collaborate across distributed teams
* Proven experience in data quality management, including proactive strategy development and metric/reporting creation
* A passion for problem solving, process improvement, and innovation
* Strong project management skills and a customer-focused mindset
We'd love to see
* An advanced degree in a relevant field and/or Certified Data Management Professional (CDMP) accreditation (or working towards it)
* Experience working in commodities markets and with commodity data products
* Familiarity with Bloomberg products, Bloomberg Terminal workflows, or Bloomberg Data Services
* Knowledge of advanced statistical techniques, Machine Learning, Natural Language Processing, or AI in business use cases
* Project management experience using JIRA, QlikSense, or similar tools
Salary Range = - USD Annually + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
Location
New York
Business Area
Data
Ref #
**Description & Requirements**
Bloomberg runs on data. Our products are powered by rich, timely information. We combine data and context to deliver the full picture to our clients-around the clock, around the world. In Data, we're responsible for delivering this information, news, and analytics through innovative technology-quickly and accurately.
Our Team
The Commodities Data team is responsible for onboarding, modeling, and maintaining data that is accurate, timely, and fit for purpose. More than 320,000 business leaders rely on the real-time financial information available on the Bloomberg Terminal. Our insights and intelligence help shape the commodities markets.
We manage data across power & gas, oil, carbon, agriculture, and metals. Our mission is to empower our clients with high-quality data to support their analysis of pricing and market fundamentals.
The Role
We're looking for an experienced Data Engineer with a passion for data and technology. You'll play a key role in designing and maintaining our data infrastructure, ensuring efficient, scalable, and reliable data pipelines. You'll lead the development of automated ETL processes, data remediation workflows, and quality controls.
You'll work closely with Product, Engineering, domain experts, and other stakeholders to understand data requirements and deliver impactful solutions. As a technical leader, you'll also guide design decisions, mentor team members, and take ownership of end-to-end project delivery to meet evolving client and market needs.
We'll trust you to
* Build and maintain scalable ETL pipelines to ingest, transform, and load data from various sources using Bloomberg technologies
* Develop and implement data quality strategies and governance frameworks
* Analyze internal processes to identify areas for improvement, engineering innovative, ML-driven workflows
* Deliver transparent, fit-for-purpose solutions for internal and external Commodities clients
* Collaborate with cross-functional teams (Data, Engineering, Product, and Sales) to drive strategic development
* Apply project management best practices to ensure technical initiatives meet requirements and timelines
* Use statistical methods and data visualization to communicate insights and track project outcomes
* Mentor junior team members, fostering growth, collaboration, and knowledge sharing
You'll need to have
* A bachelor's degree (or equivalent qualification) in Statistics, Computer Science, Quantitative Finance, or a related STEM field
* 4+ years of experience designing and implementing scalable data solutions and ETL pipelines across diverse data sources
* 4+ years of hands-on experience with Python and working with SQL/NoSQL databases
* Familiarity with various data formats (structured and unstructured), including PDF, HTML, XBRL, JSON, and CSV
* Excellent communication and interpersonal skills, with the ability to mentor and collaborate across distributed teams
* Proven experience in data quality management, including proactive strategy development and metric/reporting creation
* A passion for problem solving, process improvement, and innovation
* Strong project management skills and a customer-focused mindset
We'd love to see
* An advanced degree in a relevant field and/or Certified Data Management Professional (CDMP) accreditation (or working towards it)
* Experience working in commodities markets and with commodity data products
* Familiarity with Bloomberg products, Bloomberg Terminal workflows, or Bloomberg Data Services
* Knowledge of advanced statistical techniques, Machine Learning, Natural Language Processing, or AI in business use cases
* Project management experience using JIRA, QlikSense, or similar tools
Salary Range = - USD Annually + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.
We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.
Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email
View Now
2
Data Engineering, Management & Governance Manager
30309 Midtown Atlanta, Georgia
Accenture
Posted 2 days ago
Job Viewed
Job Description
Data Engineering, Management & Governance Manager (Accenture LLP; Atlanta, GA): Accenture LLP has multiple openings for the position of Data Engineering, Management & Governance Manager in Atlanta, GA, and the job duties are as follows:
+ Build analytical systems from the ground up, which includes providing architectural directions, translating business issues into specific requirements to develop analytic solutions, and identifying appropriate data to support the solutions.
+ Manage and oversee a team of data professional employees, including Associate Managers, Systems Analysts, and Senior ETL Developers.
+ Assign work and work schedules, and monitor the completion of teams' core duties, responsibilities, assignments, and projects.
+ Approve work product of all members on the team.
+ Planning, staffing, execution of the project, and oversight.
+ Direct coordination and consultation with internal senior management on project risks, concerns, and financials.
+ Conduct feasibility study, capacity planning, and process redesign/re-engineering of complex integration solution.
BASIC QUALIFICATIONS:
Must have a bachelor's degree in Computer Science, Technology, Computer Information Systems, Computer Applications, Engineering, or related field, plus 5 years of progressive post-baccalaureate experience in the IT consulting industry.Must have 3 years of experience in each of the following:
+ Managing, designing, and developing large-scale Data warehouse and Data lake solutions across multiple data sources;
+ Capacity planning, process redesign, and re-engineering of complex data integration solutions;
+ Utilizing Agile delivery methodologies in translating business and functional requirements into technical designs;
+ Developing large-scale Extract, Transform, and Load (ETL) and Data Warehouse solutions; and
+ Implementing data architectures in on-prem data warehouses.
Must have 2 years of experience in utilizing ETL tools, including Ab Initio. Must have willingness and ability to travel domestically approximately 80% of the time to meet client needs.
To apply, please click the 'APPLY' button.
#LI-DNI #IND-DNI
Requesting an Accommodation
Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.
If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at or send us an email or speak with your recruiter.
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
For details, view a copy of the Accenture Equal Opportunity Statement ( is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.
Accenture is committed to providing veteran employment opportunities to our service men and women.
Other Employment Statements
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.
The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.
California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.
Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.
+ Build analytical systems from the ground up, which includes providing architectural directions, translating business issues into specific requirements to develop analytic solutions, and identifying appropriate data to support the solutions.
+ Manage and oversee a team of data professional employees, including Associate Managers, Systems Analysts, and Senior ETL Developers.
+ Assign work and work schedules, and monitor the completion of teams' core duties, responsibilities, assignments, and projects.
+ Approve work product of all members on the team.
+ Planning, staffing, execution of the project, and oversight.
+ Direct coordination and consultation with internal senior management on project risks, concerns, and financials.
+ Conduct feasibility study, capacity planning, and process redesign/re-engineering of complex integration solution.
BASIC QUALIFICATIONS:
Must have a bachelor's degree in Computer Science, Technology, Computer Information Systems, Computer Applications, Engineering, or related field, plus 5 years of progressive post-baccalaureate experience in the IT consulting industry.Must have 3 years of experience in each of the following:
+ Managing, designing, and developing large-scale Data warehouse and Data lake solutions across multiple data sources;
+ Capacity planning, process redesign, and re-engineering of complex data integration solutions;
+ Utilizing Agile delivery methodologies in translating business and functional requirements into technical designs;
+ Developing large-scale Extract, Transform, and Load (ETL) and Data Warehouse solutions; and
+ Implementing data architectures in on-prem data warehouses.
Must have 2 years of experience in utilizing ETL tools, including Ab Initio. Must have willingness and ability to travel domestically approximately 80% of the time to meet client needs.
To apply, please click the 'APPLY' button.
#LI-DNI #IND-DNI
Requesting an Accommodation
Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.
If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at or send us an email or speak with your recruiter.
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
For details, view a copy of the Accenture Equal Opportunity Statement ( is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.
Accenture is committed to providing veteran employment opportunities to our service men and women.
Other Employment Statements
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.
The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.
California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.
Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.
View Now
3
Data Engineering, Management & Governance Manager
02133 Boston, Kentucky
Accenture
Posted 2 days ago
Job Viewed
Job Description
Data Engineering, Management & Governance Manager (Accenture LLP; Boston, MA): Accenture LLP has multiple openings for the position of Data Engineering, Management & Governance Manager in Boston, MA, and the job duties are as follows:
+ Analyze, design, build, test, implement and maintain multiple system components or applications.
+ Develop or update project plans for information technology projects, including project objectives, technologies, systems, information specifications, schedules, funding, and staffing.
+ Maintain applications according to SLAs and manage project execution to ensure adherence to budget, schedule, and scope.
+ Work across the Service Delivery Lifecycle on engineering solutions for new system rollouts, major/minor enhancements, and/or ongoing maintenance of existing applications.
+ Design, architect, and code applications to functional and technical programming standards.
+ Develop system specifications and establish MLops/Dataops for complex systems.
+ Identify and assess complex problems that require in-depth evaluation of variable factors and create solutions for implementation by the team.
+ Supervise a team to gather and interpret user/system requirements into design specifications.
+ Conduct project and issue management (including status reporting, issue reporting, and ETC/budget reporting) for assigned scope of work and make decisions that impact the team through regular consultation with senior management.
+ Adhere to strategic direction set by senior management/client and prototype solutions.
+ Interact effectively with client or internal senior management.
BASIC QUALIFICATIONS:
Must have a bachelor's degree in Computer Science, Technology, Computer Information Systems, Computer Applications, Engineering, or related field, plus 5 years of progressive post-baccalaureate experience in the IT consulting industry.Must have 3 years of experience in each of the following:
+ Designing, developing, and supporting front-end web, RESTful APIs, and database components adhering to SDLC best practices;
+ Cloud native development and cloud technologies, including Pivotal Cloud Foundry, AWS utilizing DevOps, and Agile methodology;
+ Coding and deploying applications using DevOps utilizing GitLab, AWS, Vault, Splunk or Terraform;
+ Developing and maintaining applications and extract, transform, and load (ETL) pipelines using Python, PySpark, AWS, Shell or JavaScript;
+ Working with SQL databases, including PostgreSQL, RedShift, or DynamoDB;
+ Creating prototype solutions, and producing and maintaining data for machine learning;
+ Driving key delivery orchestration, design decisions, and suggesting improvements on ongoing issues; and
+ Managing onshore and offshore delivery teams supporting critical applications.
Must have willingness and ability to travel domestically approximately 80% of the time to meet client needs.
To apply, please click the 'APPLY' button.
#LI-DNI #IND-DNI
Requesting an Accommodation
Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.
If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at or send us an email or speak with your recruiter.
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
For details, view a copy of the Accenture Equal Opportunity Statement ( is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.
Accenture is committed to providing veteran employment opportunities to our service men and women.
Other Employment Statements
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.
The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.
California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.
Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.
+ Analyze, design, build, test, implement and maintain multiple system components or applications.
+ Develop or update project plans for information technology projects, including project objectives, technologies, systems, information specifications, schedules, funding, and staffing.
+ Maintain applications according to SLAs and manage project execution to ensure adherence to budget, schedule, and scope.
+ Work across the Service Delivery Lifecycle on engineering solutions for new system rollouts, major/minor enhancements, and/or ongoing maintenance of existing applications.
+ Design, architect, and code applications to functional and technical programming standards.
+ Develop system specifications and establish MLops/Dataops for complex systems.
+ Identify and assess complex problems that require in-depth evaluation of variable factors and create solutions for implementation by the team.
+ Supervise a team to gather and interpret user/system requirements into design specifications.
+ Conduct project and issue management (including status reporting, issue reporting, and ETC/budget reporting) for assigned scope of work and make decisions that impact the team through regular consultation with senior management.
+ Adhere to strategic direction set by senior management/client and prototype solutions.
+ Interact effectively with client or internal senior management.
BASIC QUALIFICATIONS:
Must have a bachelor's degree in Computer Science, Technology, Computer Information Systems, Computer Applications, Engineering, or related field, plus 5 years of progressive post-baccalaureate experience in the IT consulting industry.Must have 3 years of experience in each of the following:
+ Designing, developing, and supporting front-end web, RESTful APIs, and database components adhering to SDLC best practices;
+ Cloud native development and cloud technologies, including Pivotal Cloud Foundry, AWS utilizing DevOps, and Agile methodology;
+ Coding and deploying applications using DevOps utilizing GitLab, AWS, Vault, Splunk or Terraform;
+ Developing and maintaining applications and extract, transform, and load (ETL) pipelines using Python, PySpark, AWS, Shell or JavaScript;
+ Working with SQL databases, including PostgreSQL, RedShift, or DynamoDB;
+ Creating prototype solutions, and producing and maintaining data for machine learning;
+ Driving key delivery orchestration, design decisions, and suggesting improvements on ongoing issues; and
+ Managing onshore and offshore delivery teams supporting critical applications.
Must have willingness and ability to travel domestically approximately 80% of the time to meet client needs.
To apply, please click the 'APPLY' button.
#LI-DNI #IND-DNI
Requesting an Accommodation
Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.
If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at or send us an email or speak with your recruiter.
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
For details, view a copy of the Accenture Equal Opportunity Statement ( is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.
Accenture is committed to providing veteran employment opportunities to our service men and women.
Other Employment Statements
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.
The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.
California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.
Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.
View Now
4
Data Engineering, Management & Governance Manager
10259 New York, New York
Accenture
Posted 16 days ago
Job Viewed
Job Description
Data Engineering, Management & Governance Manager (Accenture LLP; New York, NY): Accenture LLP has multiple openings for the position of Data Engineering, Management & Governance Manager in New York, NY, and the job duties are as follows:
+ Analyze, design, build, test, implement and maintain multiple system components or applications.
+ Develop or update project plans for information technology projects, including project objectives, technologies, systems, information specifications, schedules, funding, and staffing.
+ Maintain applications according to SLAs and manage project execution to ensure adherence to budget, schedule, and scope.
+ Work across the Service Delivery Lifecycle on engineering solutions for new system rollouts, major/minor enhancements, and/or ongoing maintenance of existing applications.
+ Design, architect, and code applications to functional and technical programming standards.
+ Develop system specifications and establish MLops/Dataops for complex systems.
+ Identify and assess complex problems that require in-depth evaluation of variable factors and create solutions for implementation by the team.
+ Supervise a team to gather and interpret user/system requirements into design specifications.
+ Conduct project and issue management (including status reporting, issue reporting, and ETC/budget reporting) for assigned scope of work and make decisions that impact the team through regular consultation with senior management.
+ Adhere to strategic direction set by senior management/client and prototype solutions.
+ Interact effectively with client or internal senior management.
BASIC QUALIFICATIONS:
Must have a bachelor's degree in Computer Science, Technology, Computer Information Systems, Computer Applications, Engineering, or related field, plus 5 years of progressive post-baccalaureate experience in the IT consulting industry.Must have 5 years of experience in each of the following:
+ Designing, developing, and supporting RESTful APIs, and database components while adhering to SDLC best practices;
+ Leading cloud-native development and leveraging cloud technologies, including Informatica, Snowflake, AWS utilizing DevOps practices, and Agile methodology;
+ Coding and deploying applications using DevOps practices, AWS, Vault and Terraform;
+ Developing and maintaining applications, Extract, Transform, and Load (ETL) and Machine Learning (ML) pipelines, utilizing Python, PySpark, AWS, JavaScript, Shell, and Informatica Data Management Cloud (IDMC);
+ Managing SQL databases, including PostgreSQL, DynamoDB, or Snowflake;
+ Designing, developing and integrating business applications, including SAP, Duck Creek and Sapiens Reinsurance Master with Data Lake through both batch and real time integrations;
+ Creating prototype solutions and preparing and maintaining data for machine learning applications;
+ Driving delivery orchestration, design decisions, and recommending improvements on ongoing issues; and
+ Managing onshore and offshore delivery teams to support critical applications.
Must have willingness and ability to travel domestically approximately 80% of the time to meet client needs.
To apply, please click the 'APPLY' button.
Pursuant to the New York Transparency Bill, the offered wage for this role is $200,700.00 per year.
#LI-DNI #IND-DNI
Requesting an Accommodation
Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.
If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at or send us an email or speak with your recruiter.
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
For details, view a copy of the Accenture Equal Opportunity Statement ( is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.
Accenture is committed to providing veteran employment opportunities to our service men and women.
Other Employment Statements
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.
The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.
California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.
Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.
+ Analyze, design, build, test, implement and maintain multiple system components or applications.
+ Develop or update project plans for information technology projects, including project objectives, technologies, systems, information specifications, schedules, funding, and staffing.
+ Maintain applications according to SLAs and manage project execution to ensure adherence to budget, schedule, and scope.
+ Work across the Service Delivery Lifecycle on engineering solutions for new system rollouts, major/minor enhancements, and/or ongoing maintenance of existing applications.
+ Design, architect, and code applications to functional and technical programming standards.
+ Develop system specifications and establish MLops/Dataops for complex systems.
+ Identify and assess complex problems that require in-depth evaluation of variable factors and create solutions for implementation by the team.
+ Supervise a team to gather and interpret user/system requirements into design specifications.
+ Conduct project and issue management (including status reporting, issue reporting, and ETC/budget reporting) for assigned scope of work and make decisions that impact the team through regular consultation with senior management.
+ Adhere to strategic direction set by senior management/client and prototype solutions.
+ Interact effectively with client or internal senior management.
BASIC QUALIFICATIONS:
Must have a bachelor's degree in Computer Science, Technology, Computer Information Systems, Computer Applications, Engineering, or related field, plus 5 years of progressive post-baccalaureate experience in the IT consulting industry.Must have 5 years of experience in each of the following:
+ Designing, developing, and supporting RESTful APIs, and database components while adhering to SDLC best practices;
+ Leading cloud-native development and leveraging cloud technologies, including Informatica, Snowflake, AWS utilizing DevOps practices, and Agile methodology;
+ Coding and deploying applications using DevOps practices, AWS, Vault and Terraform;
+ Developing and maintaining applications, Extract, Transform, and Load (ETL) and Machine Learning (ML) pipelines, utilizing Python, PySpark, AWS, JavaScript, Shell, and Informatica Data Management Cloud (IDMC);
+ Managing SQL databases, including PostgreSQL, DynamoDB, or Snowflake;
+ Designing, developing and integrating business applications, including SAP, Duck Creek and Sapiens Reinsurance Master with Data Lake through both batch and real time integrations;
+ Creating prototype solutions and preparing and maintaining data for machine learning applications;
+ Driving delivery orchestration, design decisions, and recommending improvements on ongoing issues; and
+ Managing onshore and offshore delivery teams to support critical applications.
Must have willingness and ability to travel domestically approximately 80% of the time to meet client needs.
To apply, please click the 'APPLY' button.
Pursuant to the New York Transparency Bill, the offered wage for this role is $200,700.00 per year.
#LI-DNI #IND-DNI
Requesting an Accommodation
Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.
If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at or send us an email or speak with your recruiter.
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
For details, view a copy of the Accenture Equal Opportunity Statement ( is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.
Accenture is committed to providing veteran employment opportunities to our service men and women.
Other Employment Statements
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.
The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.
California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.
Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.
View Now
5
Data Engineering
Remote
Moore Haven Yacht Club
Posted 22 days ago
Job Viewed
Job Description
Moore Haven Yacht Club is seeking a talented and experienced Data Engineer to join our technology team. As a Data Engineer, you will be responsible for designing, developing, and maintaining our data infrastructure to support our business objectives. This role offers the opportunity to work with cutting-edge technologies and make a significant impact on our organization.
Responsibilities:- Design and implement scalable data pipelines and ETL processes
- Optimize and maintain databases and data warehouses
- Collaborate with cross-functional teams to gather and analyze data requirements
- Develop data models and schemas for efficient data storage and retrieval
- Monitor and troubleshoot data quality issues
- Bachelor's degree in Computer Science, Engineering, or related field
- Proven experience in data engineering, data warehousing, or related roles
- Strong proficiency in SQL, Python, and other programming languages
- Experience with cloud platforms such as AWS, Azure, or Google Cloud
- Excellent problem-solving and analytical skills
- Ability to work independently and collaborate with team members
If you are passionate about data engineering and looking for a challenging and rewarding opportunity, we encourage you to apply for this position at Moore Haven Yacht Club.
Company Details
Moore Haven Yacht Club is a 55+ Residential Manufactured Home Community where you own your lot with City Water and Sewer. Be sure to look at the Homes for Sale or install a new manufactured home on one of the Lots. You become a Member of the Homeowners Association with amenities that include the use of the Clubhouse Facilities, Swimming Pool, planned Activities and lawn mowing service.
Apply Now
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6
Data Engineering
94709 Berkeley, California
ZipRecruiter
Posted 7 days ago
Job Viewed
Job Description
Job DescriptionJob DescriptionDescriptionZendar is looking for a motivated Data Engineering to join its Operations team for a 6-month . This position will help the company improve its understanding of its growing library of data that fuels all our development and capabilities.
Term: 6 months (approximate)
Hours: 40 hours/week
Who You Are
As a data engineering , you will:
- Maintain & execute scripts for indexing data from our growing fleet of data collection vehicles.
- Process, evaluate, & share quality issues for incoming data.
- Enhance data quality by working closely with stakeholders to improve cleansing & standardization processes.
- Support data analysis through report and data extracts.
- Document and improve operational workflows.
- Communicate with cross-functional teams to test & report issues with software releases.
What We Look For
- Recent graduate and/or enrolled in a graduate program
- Background in data science/engineering or related technical disciplines
- Strong python & SQL development skills
- Good knowledge in Linux (this is the operating system of our test environment)
- Strong communication and cross-functional collaboration skills.
- Someone interested in problem solving and adapting to change
Bonus Points:
- Experience with radar is a huge plus
- Experience working with camera imagery, LIDAR sensors, and/or point clouds is a plus
- Familiarity with Tabeleau
- Familiarity with Google Cloud Platform
What We Offer
- Opportunity to make an impact at a , venture-backed company in an emerging market
- Daily lunch supported by a fixed amount for in-office days to be used freely at your discretion
Zendar is committed to creating a diverse environment where talented people come to do their
best work. We are proud to be an equal opportunity employer. All qualified applicants will
receive consideration for employment without regard to , , , ,
or expression, , , genetics, , , or veteran
status.
FOR US: Zendar participates in E-Verify
View Now
7
Manager, Vulnerability Management Data Engineering
28245 Charlotte, North Carolina
Vanguard
Posted 9 days ago
Job Viewed
Job Description
Key Responsibilities:
Leadership & Team Development
-
Build, mentor, and lead a team of data engineers supporting enterprise vulnerability management.
-
Establish clear objectives, success metrics, and career development opportunities for team members.
-
Foster a culture of innovation, accountability, and continuous improvement.
Data Engineering & Platform Ownership
-
Oversee the design and implementation of data pipelines that ingest, normalize, and integrate security data from multiple sources.
-
Ensure data quality, consistency, and timeliness for reporting and analytics use cases.
-
Partner with platform owners and security teams to ensure proper integration of vulnerability and posture data.
-
Guide the team in adopting best practices for data engineering, automation, and reliability.
Program & Stakeholder Partnership:
-
Collaborate with vulnerability management, application security, and risk functions to ensure data supports decision-making at all levels.
-
Translate program requirements into scalable data engineering solutions.
-
Provide regular updates on team progress, data quality, and program enablement.
Qualifications:
-
Bachelor’s degree in Computer Science, Engineering, Data Science, or related discipline.
-
7+ years of experience in data engineering or security engineering, with at least 3+ years in a leadership role.
-
Demonstrated expertise with modern data engineering practices (ETL/ELT, data pipelines, APIs, automation).
-
Familiarity with vulnerability management or security data domains.
-
Strong leadership and communication skills, with the ability to guide engineers and collaborate with stakeholders.
Preferred Experience:
-
Experience with cloud-native data platforms and tools.
-
Knowledge of common security and vulnerability management tools (e.g., scanning platforms, posture management systems).
-
Understanding of quantitative risk or posture reporting frameworks.
-
Strong track record of building high-performing engineering teams.
What We Offer
-
Opportunity to establish and scale a specialized data engineering team at enterprise level.
-
A culture that values innovation, collaboration, and professional growth.
-
Competitive compensation and benefits, with opportunities for advancement.
Special Factors
Sponsorship
Vanguard is not offering visa sponsorship for this position.
About Vanguard
At Vanguard, we don't just have a mission—we're on a mission.
To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.
How We Work
Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.
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8
Associate, Data Engineering
75215 Park Cities, Texas
Bank OZK
Posted today
Job Viewed
Job Description
Associate, Data Engineering at Bank OZK summary:
The Associate, Data Engineering is responsible for developing and maintaining data solutions that support the Bank's Data Strategy. This role involves creating data models, ETL/ELT processes, and reporting solutions while collaborating with the Data Engineering team and other stakeholders. The position requires strong problem-solving, communication, and technical skills in data development and cloud platforms to ensure compliance and efficient data operations.
Job Purpose & ScopeAs Associate, Data Engineering you will be responsible for developing and maintaining data solutions which support Bank Data Strategy. In this role, you will act as a problem-solver who can understand business requirements while developing and maintaining data models, ETL or ELT processes, and reporting solutions. As a member of a Data Engineering Team, you will perform a variety of tasks to develop and maintain data solutions. You will demonstrate exceptional customer service, solutioning, planning, teamwork, and organization skills. You will work independently, yet collaboratively, to fulfill assigned objectives.
Essential Job Functions
- Assist in the development and maintenance of data model-based solutions as specified by engineering standards.
- Perform testing of data solutions to ensure developed product meets business requirements.
- Resolve bugs and data issues as identified by product, project management, or governance functions.
- Provide work estimates while communicating with Data Engineering Management when assignments deviate from initial estimates.
- Adhere to data development standards.
- Work in a coordinated manner with the Data Engineering team and management.
- Support the design, development, and production of data applications.
- Apply knowledge of data modeling, ELT/ETL methodologies, and database architecture in work processes and deliverables.
- Demonstrate an understanding of OZK enterprise data architecture, data platforms, and data operations.
- Work with Data Assurance and Deployment team to ensure smooth and well-documented releases.
- Actively engage in and learn the business processes of the supported lines of business.
- Support change control and version management.
- Keep apprised of technological innovation and constantly improve through training.
- Enthusiastically embrace, support, and model the Bank's values and mission.
- Ensure compliance with internal/external regulatory policies, procedures, and
Knowledge, Skills & Abilities
- Knowledge of data development skills sets to create and maintain data solutions.
- Ability to maintain focus for sustained time periods to deliver on individual or multiple assigned tasks.
- Ability to perform in challenging environments.
- Ability to troubleshoot issues on standard, sensitive, and/or complex accounts.
- Ability to communicate effectively both verbally and in writing and interact with all levels of employees.
- Ability to work independently under general supervision.
- Skill in using computer and Microsoft Office, including Word, Excel, and Outlook.
Basic Qualifications
- Bachelor's degree in a job-related field, or commensurate work experience, required.
- 3+ years of experience in database development, data warehouse development, and/or data science experience, required.
- 3+ years of experience in reporting technologies such as Power BI, SSRS, Tableau or similar platform, preferred.
- Experience in Jira, Azure Devops, or similar development management environment, preferred.
- Experience with Snowflake Cloud Data Platform, preferred.
- Data development certification, such as Snow Pro Certification or Microsoft SQL Server certification, preferred.
Job Expectations
Job Expectations: Operate customary equipment and technology used in a business environment, with or without accommodation.
Note: This description is not an exhaustive list of all job functions, duties, skills, and job standards required. Other job functions, duties, skills, and standards may be added. Management reserves the right to add or change the job requirements at any time.
EEO Statement
Bank OZK is an equal opportunity employer and gives consideration for employment to qualified applicants without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, disability status, protected veteran status, or any other characteristic protected by federal, state, and local law. Member FDIC.
Keywords:
data engineering, data modeling, ETL, ELT, data warehouse, Snowflake, Power BI, data development, Azure DevOps, reporting solutions
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