7,450 Data Professional jobs in the United States

A Snapshot of Your Day

As a Product Lifecycle Management (PLM) Data Professional, you will work within our global Engineering Standards team for Large Gas Turbines. With a continuous focus on business needs and business value you will work with a range of individuals and cross-organizational projects to ensure and improve data quality and (re)usability of our large amounts of technical product related data (CAD, parts and BOMs, documents, test data, simulation data, etc.). Topics range from providing ad hoc user support on individual data objects and issues to responsibility for large scale analysis, cleansing, enrichment and transformation of data as part of major re-platforming of SAP and Teamcenter systems and related migration and digitalization activities.

How You'll Make an Impact

• Ensuring we choose the best PLM data tools, solutions and ways of working to design our complex large gas turbine product and create product defining data ready for use throughout the product lifecycle

• Gaining quick wins for the business by setting up data dashboards and smaller data related apps yourself working in small, agile teams

• Ownership for data and data quality as a member of a cross-organizational data governance community to ensure enterprise level data standards in support of reusability of the data along the end-to-end digital thread

• Improving our data and data landscape: you are a key player to enable and drive the digital transformation of our business. This includes where applicable the use of artificial intelligence in PLM data context

• Interface between Engineering users towards IT departments taking care of maintaining our PLM architecture and backbone systems: you are key to translating business needs into realistic IT requirements

What You Bring

• Bachelor's degree (Master's degree preferred) in mechanical engineering, Computer Science or similar field

• Longstanding years professional experience in relevant topics

• Power industry experience preferred

• Solid experience with Product Lifecycle Management systems (ex. Teamcenter), CAD systems like NX, ERP tools like SAP and related data including data classification

• Experience with automation, programming or low-code apps for data analysis, manipulation and visualization, e.g. Python, Snowflake, Power BI, Mosaic, Alteryx

• Very good communication skills in English and knowledge of the German language would be a plus

• Applicants must be legally authorized for employment in the United States without need for current or future employer-sponsored work authorization. Siemens Energy employees with current visa sponsorship may be eligible for internal transfers.

About the Team

Our Gas Services division offers Low-emission power generation through service and decarbonization. Zero or low emission power generation and all gas turbines under one roof, steam turbines and generators. Decarbonization opportunities through service offerings, modernization, and digitalization of the fleet.

Who is Siemens Energy?

At Siemens Energy, we are more than just an energy technology company. With ~100.000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation.

Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.

Find out how you can make a difference at Siemens Energy:

Rewards/Benefits

• Career growthand development opportunities

• Supportive workculture

• Company paidHealth and wellness benefits

• Paid Time Offand paid holidays

• 401K savingsplan with company match

• Family buildingbenefits

• Parental leave

#RPO #LGTEN

Equal Employment Opportunity Statement

Siemens Energy is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local

law.

**A Snapshot of Your Day**
As a Product Lifecycle Management (PLM) Data Professional, you will work within our global Engineering Standards team for Large Gas Turbines. With a continuous focus on business needs and business value you will work with a range of individuals and cross-organizational projects to ensure and improve data quality and (re)usability of our large amounts of technical product related data (CAD, parts and BOMs, documents, test data, simulation data, etc.). Topics range from providing ad hoc user support on individual data objects and issues to responsibility for large scale analysis, cleansing, enrichment and transformation of data as part of major re-platforming of SAP and Teamcenter systems and related migration and digitalization activities.
**How You'll Make an Impact**
+ Ensuring we choose the best PLM data tools, solutions and ways of working to design our complex large gas turbine product and create product defining data ready for use throughout the product lifecycle
+ Gaining quick wins for the business by setting up data dashboards and smaller data related apps yourself working in small, agile teams
+ Ownership for data and data quality as a member of a cross-organizational data governance community to ensure enterprise level data standards in support of reusability of the data along the end-to-end digital thread
+ Improving our data and data landscape: you are a key player to enable and drive the digital transformation of our business. This includes where applicable the use of artificial intelligence in PLM data context
+ Interface between Engineering users towards IT departments taking care of maintaining our PLM architecture and backbone systems: you are key to translating business needs into realistic IT requirements
**What You Bring**
+ Bachelor's degree (Master's degree preferred) in mechanical engineering, Computer Science or similar field
+ Longstanding years professional experience in relevant topics
+ Power industry experience preferred
+ Solid experience with Product Lifecycle Management systems (ex. Teamcenter), CAD systems like NX, ERP tools like SAP and related data including data classification
+ Experience with automation, programming or low-code apps for data analysis, manipulation and visualization, e.g. Python, Snowflake, Power BI, Mosaic, Alteryx
+ Very good communication skills in English and knowledge of the German language would be a plus
+ Applicants must be legally authorized for employment in the United States without need for current or future employer-sponsored work authorization. Siemens Energy employees with current visa sponsorship may be eligible for internal transfers.
**About the Team**
Our Gas Services division offers Low-emission power generation through service and decarbonization. Zero or low emission power generation and all gas turbines under one roof, steam turbines and generators. Decarbonization opportunities through service offerings, modernization, and digitalization of the fleet.
**Who is Siemens Energy?**
At Siemens Energy, we are more than just an energy technology company. With ~100.000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation.
Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.
Find out how you can make a difference at Siemens Energy: Career growthand development opportunities
+ Supportive workculture
+ Company paidHealth and wellness benefits
+ Paid Time Offand paid holidays
+ 401K savingsplan with company match
+ Family buildingbenefits
+ Parental leave
#LGTEN
Equal Employment Opportunity Statement
Siemens Energy is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local
law.

Senior Data Management Professional - Data Science - Data Management Lab
Location
New York
Business Area
Data
Ref #
10043692
**Description & Requirements**
Bloomberg runs on data, and in the Data department we're responsible for acquiring, interpreting and supplying data insights to our clients. Our Data teams work to collect, analyse, process, and publish the data which is the backbone of our iconic Bloomberg Terminal -- the data which ultimately moves the financial markets! We're responsible for delivering this data, news, and analytics through innovative technology -- quickly and accurately.
The Data Management Lab (DML) sits within the Data organization, supporting Data's pursuit of data management excellence by aligning industry best practices with Bloomberg's established expertise in financial market data. DML empowers our data professionals to make their products "ready-to-use" by promoting increased data discoverability, accessibility, appraisability, interoperability, and analysis-readiness.
As a Data Management Professional, you will play a pivotal role in ensuring the delivery of high-quality data to our clients while driving impactful business decisions. You will be an integral member of a collaborative set of teams, Quality Methods & Insights under DML that includes Data Quality, Business Intelligence and Process Engineering serving as a centre of excellence for the rest of the teams in the Data organisation. A key aspect of this role involves leading initiatives to appraise and enhance the quality of our datasets, partnering closely with Data product and Engineering teams to champion effective solutions. Simultaneously, you will leverage your analytical expertise to support the development of scalable methods and tools for analysing product, process, and people data. The analytical insights will directly support data-driven decision-making aimed at achieving quality enhancements and process optimisation across the organization. You will also contribute to the ongoing refinement of data management best practices.
**As a valued member of our team, we'll trust you to:**
+ Lead global initiatives focused on data science applications within the realms of data quality, data product development, and operational efficiency
+ Design and run studies to uncover root causes of data quality issues, using techniques such as hypothesis testing, clustering, and regression analysis
+ Develop statistical models to detect data anomalies, predict quality issues, and optimize data manufacturing pipelines by leveraging appropriate methodologies
+ Deliver actionable insights through advanced analytics, and compelling data storytelling to support business decision making and innovation
+ Collaborate with data stakeholders and engineering partner to translate high-impact questions into scalable data science solutions
+ Build statistical and analytical capabilities within the team; mentor others in applying best practices in modelling and experimentation
**You'll need to have a strong combination of the following:**
_*Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role._
+ A PhD or Master's degree in Data Science, Economics, Statistics or a related quantitative field
+ 3-5 years' experience designing research studies as well as performing analysis such as data profiling, predictive modelling, and causal analysis
+ Strong coding skills ideally in Python and experience with SQL for data querying
+ Familiarity with version control systems (e.g., Git) and a collaborative development workflow (e.g., GitHub, GitLab)
+ Experience working in a data quality, data governance, or data management environment is a major plus (knowledge of DAMA, DCAM, etc. is welcome)
+ Excellent project management skills and the ability to communicate complex findings clearly to both technical and non-technical audiences
+ Knowledge of financial markets and Bloomberg products is a plus
**Does this sound like you?**
Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.
Salary Range = 11000 - 19000 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

Senior Data Management Professional - Data Engineering - Equity Corporate Actions

Location

Skillman

Business Area

Data

Ref #

10043215

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 workflow efficiencies and implement technology solutions to enhance our systems, products, and processes.

Our Team:

Our team is responsible for acquiring and maintaining the full life-cycle of equity corporate actions data- from inception of public companies through IPOs, to capital distributions like cash dividends, to financing of M&A activity, and everything in-between in the equity instrument lifecycle. Data management expertise, cross-functional collaboration, deep domain knowledge, and thoughtful technology application are critical elements in delivering the high-quality data to our well established client base and what they expect from this foundational dataset. Our corporate action data is the main building block in Bloomberg's Equity product offering.

What's the Role?

We're seeking an established Data Engineer with a passion for finance, data, and technology who has extensive experience building data management solutions. You'll be responsible for strategizing, designing, and implementing data pipelines and remediation workflows, ensuring observability, transparency, and continuous improvement of pipeline performance and quality of output. In this role, you'll also act as a technical leader-guiding design decisions, mentoring team members, and owning the end-to-end delivery of data solutions that address evolving client and market needs. You'll work closely with colleagues in your immediate team, alongside partners in Engineering and Product to deliver value for our clients.

You won't just be executing on individual tasks; you'll own and lead technical projects from concept to production, designing solutions that integrate seamlessly into our existing data ecosystem. Your leadership in data engineering best practices will help shape our approach to data ingestion, data automation, and ultimately data quality experienced by our clients. You will play a key role in mentoring other team members and contributing to the continual development of technical skills within the wider team. Your ability to think big, drive innovation, and execute with foresight will be critical to our success. If you're ready to combine technical expertise with a strategic mindset and deliver real impact to the financial markets, we'd love to speak with you.

We'll Trust You To:

• Use your established experience to design, build, and automate robust, scalable data pipelines for ingesting, transforming, and loading both structured and unstructured data from diverse and numerous sources, leveraging Bloomberg's technology stack

• Lead the development and implementation of proactive programmatic data quality strategies with enhanced observability, transparency, and robust remediation workflows, enabling rapid identification and resolution of data issues with minimal client disruption

• Use your analytical experience to analyze internal processes to identify gaps and opportunities, engineering innovative, efficient workflows that enhance scalability, data coverage, and client value

• Collaborate closely with cross-functional and counterpart teams to ensure alignment on consistent principles, shared tooling, and measurable outcomes

• Mentor early-career team members, fostering collaboration, knowledge-sharing, and professional growth

• Lead cross-functional, strategic data initiatives, applying proven project management skills to ensure successful project delivery aligned with business objectives

You'll Need to Have:

• 4+ years of experience architecting, designing, and implementing scalable data solutions and ETL pipelines, including monitoring, remediation, and data management workflows across diverse data sources

• 4+ years of hands-on experience with Python and SQL/NoSQL databases, experience with technologies such as Amazon S3, AWS Lambda, Apache Kafka, and Apache Airflow

• Proven ability to mentor team members, clearly communicate complex concepts and methodologies, and effectively collaborate across diverse and distributed teams

• Leadership experience, either as a formal/informal people leader or as a program/project technical lead

• Demonstrated success driving or significantly contributing to strategic initiatives, showcasing continuous career growth within organizations

• Strong problem-solving skills, numerical proficiency, and meticulous attention to detail

We'd love to See:

• DAMA Certified Data Management Professional, Data Capability Assessment Model certification

• Direct experience with equity corporate actions data, or similar financial data sets

• Keen interest in financial markets

Does this sound like you? Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.

Salary Range = 11000 - 19000 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

Senior Data Management Professional - Data Engineering - Equity Corporate Actions

Location

New York

Business Area

Data

Ref #

10043208

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 workflow efficiencies and implement technology solutions to enhance our systems, products, and processes.

Our Team:

Our team is responsible for acquiring and maintaining the full life-cycle of equity corporate actions data- from inception of public companies through IPOs, to capital distributions like cash dividends, to financing of M&A activity, and everything in-between in the equity instrument lifecycle. Data management expertise, cross-functional collaboration, deep domain knowledge, and thoughtful technology application are critical elements in delivering the high-quality data to our well established client base and what they expect from this foundational dataset. Our corporate action data is the main building block in Bloomberg's Equity product offering.

What's the Role?

We're seeking an established Data Engineer with a passion for finance, data, and technology who has extensive experience building data management solutions. You'll be responsible for strategizing, designing, and implementing data pipelines and remediation workflows, ensuring observability, transparency, and continuous improvement of pipeline performance and quality of output. In this role, you'll also act as a technical leader-guiding design decisions, mentoring team members, and owning the end-to-end delivery of data solutions that address evolving client and market needs. You'll work closely with colleagues in your immediate team, alongside partners in Engineering and Product to deliver value for our clients.

You won't just be executing on individual tasks; you'll own and lead technical projects from concept to production, designing solutions that integrate seamlessly into our existing data ecosystem. Your leadership in data engineering best practices will help shape our approach to data ingestion, data automation, and ultimately data quality experienced by our clients. You will play a key role in mentoring other team members and contributing to the continual development of technical skills within the wider team. Your ability to think big, drive innovation, and execute with foresight will be critical to our success. If you're ready to combine technical expertise with a strategic mindset and deliver real impact to the financial markets, we'd love to speak with you.

We'll Trust You To:

• Use your established experience to design, build, and automate robust, scalable data pipelines for ingesting, transforming, and loading both structured and unstructured data from diverse and numerous sources, leveraging Bloomberg's technology stack

• Lead the development and implementation of proactive programmatic data quality strategies with enhanced observability, transparency, and robust remediation workflows, enabling rapid identification and resolution of data issues with minimal client disruption

• Use your analytical experience to analyze internal processes to identify gaps and opportunities, engineering innovative, efficient workflows that enhance scalability, data coverage, and client value

• Collaborate closely with cross-functional and counterpart teams to ensure alignment on consistent principles, shared tooling, and measurable outcomes

• Mentor early-career team members, fostering collaboration, knowledge-sharing, and professional growth

• Lead cross-functional, strategic data initiatives, applying proven project management skills to ensure successful project delivery aligned with business objectives

You'll Need to Have:

• 4+ years of experience architecting, designing, and implementing scalable data solutions and ETL pipelines, including monitoring, remediation, and data management workflows across diverse data sources

• 4+ years of hands-on experience with Python and SQL/NoSQL databases, experience with technologies such as Amazon S3, AWS Lambda, Apache Kafka, and Apache Airflow

• Proven ability to mentor team members, clearly communicate complex concepts and methodologies, and effectively collaborate across diverse and distributed teams

• Leadership experience, either as a formal/informal people leader or as a program/project technical lead

• Demonstrated success driving or significantly contributing to strategic initiatives, showcasing continuous career growth within organizations

• Strong problem-solving skills, numerical proficiency, and meticulous attention to detail

We'd love to See:

• DAMA Certified Data Management Professional, Data Capability Assessment Model certification

• Direct experience with equity corporate actions data, or similar financial data sets

• Keen interest in financial markets

Does this sound like you? Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.

Salary Range = 11000 - 19000 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

Senior Data Management Professional - Data Engineering - Equity Corporate Actions
Location
Skillman
Business Area
Data
Ref #
10043215
**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 workflow efficiencies and implement technology solutions to enhance our systems, products, and processes.
**Our Team:**
Our team is responsible for acquiring and maintaining the full life-cycle of equity corporate actions data- from inception of public companies through IPOs, to capital distributions like cash dividends, to financing of M&A activity, and everything in-between in the equity instrument lifecycle. Data management expertise, cross-functional collaboration, deep domain knowledge, and thoughtful technology application are critical elements in delivering the high-quality data to our well established client base and what they expect from this foundational dataset. Our corporate action data is the main building block in Bloomberg's Equity product offering.
**What's the Role?**
We're seeking an established Data Engineer with a passion for finance, data, and technology who has extensive experience building data management solutions. You'll be responsible for strategizing, designing, and implementing data pipelines and remediation workflows, ensuring observability, transparency, and continuous improvement of pipeline performance and quality of output. In this role, you'll also act as a technical leader-guiding design decisions, mentoring team members, and owning the end-to-end delivery of data solutions that address evolving client and market needs. You'll work closely with colleagues in your immediate team, alongside partners in Engineering and Product to deliver value for our clients.
You won't just be executing on individual tasks; you'll own and lead technical projects from concept to production, designing solutions that integrate seamlessly into our existing data ecosystem. Your leadership in data engineering best practices will help shape our approach to data ingestion, data automation, and ultimately data quality experienced by our clients. You will play a key role in mentoring other team members and contributing to the continual development of technical skills within the wider team. Your ability to think big, drive innovation, and execute with foresight will be critical to our success. If you're ready to combine technical expertise with a strategic mindset and deliver real impact to the financial markets, we'd love to speak with you.
**We'll Trust You To:**
+ Use your established experience to design, build, and automate robust, scalable data pipelines for ingesting, transforming, and loading both structured and unstructured data from diverse and numerous sources, leveraging Bloomberg's technology stack
+ Lead the development and implementation of proactive programmatic data quality strategies with enhanced observability, transparency, and robust remediation workflows, enabling rapid identification and resolution of data issues with minimal client disruption
+ Use your analytical experience to analyze internal processes to identify gaps and opportunities, engineering innovative, efficient workflows that enhance scalability, data coverage, and client value
+ Collaborate closely with cross-functional and counterpart teams to ensure alignment on consistent principles, shared tooling, and measurable outcomes
+ Mentor early-career team members, fostering collaboration, knowledge-sharing, and professional growth
+ Lead cross-functional, strategic data initiatives, applying proven project management skills to ensure successful project delivery aligned with business objectives
**You'll Need to Have:**
+ 4+ years of experience architecting, designing, and implementing scalable data solutions and ETL pipelines, including monitoring, remediation, and data management workflows across diverse data sources
+ 4+ years of hands-on experience with Python and SQL/NoSQL databases, experience with technologies such as Amazon S3, AWS Lambda, Apache Kafka, and Apache Airflow
+ Proven ability to mentor team members, clearly communicate complex concepts and methodologies, and effectively collaborate across diverse and distributed teams
+ Leadership experience, either as a formal/informal people leader or as a program/project technical lead
+ Demonstrated success driving or significantly contributing to strategic initiatives, showcasing continuous career growth within organizations
+ Strong problem-solving skills, numerical proficiency, and meticulous attention to detail
**We'd love to See:**
+ DAMA Certified Data Management Professional, Data Capability Assessment Model certification
+ Direct experience with equity corporate actions data, or similar financial data sets
+ Keen interest in financial markets
Does this sound like you? Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.
Salary Range = 11000 - 19000 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

Senior Data Management Professional - Data Engineering - Equity Corporate Actions
Location
New York
Business Area
Data
Ref #
10043208
**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 workflow efficiencies and implement technology solutions to enhance our systems, products, and processes.
**Our Team:**
Our team is responsible for acquiring and maintaining the full life-cycle of equity corporate actions data- from inception of public companies through IPOs, to capital distributions like cash dividends, to financing of M&A activity, and everything in-between in the equity instrument lifecycle. Data management expertise, cross-functional collaboration, deep domain knowledge, and thoughtful technology application are critical elements in delivering the high-quality data to our well established client base and what they expect from this foundational dataset. Our corporate action data is the main building block in Bloomberg's Equity product offering.
**What's the Role?**
We're seeking an established Data Engineer with a passion for finance, data, and technology who has extensive experience building data management solutions. You'll be responsible for strategizing, designing, and implementing data pipelines and remediation workflows, ensuring observability, transparency, and continuous improvement of pipeline performance and quality of output. In this role, you'll also act as a technical leader-guiding design decisions, mentoring team members, and owning the end-to-end delivery of data solutions that address evolving client and market needs. You'll work closely with colleagues in your immediate team, alongside partners in Engineering and Product to deliver value for our clients.
You won't just be executing on individual tasks; you'll own and lead technical projects from concept to production, designing solutions that integrate seamlessly into our existing data ecosystem. Your leadership in data engineering best practices will help shape our approach to data ingestion, data automation, and ultimately data quality experienced by our clients. You will play a key role in mentoring other team members and contributing to the continual development of technical skills within the wider team. Your ability to think big, drive innovation, and execute with foresight will be critical to our success. If you're ready to combine technical expertise with a strategic mindset and deliver real impact to the financial markets, we'd love to speak with you.
**We'll Trust You To:**
+ Use your established experience to design, build, and automate robust, scalable data pipelines for ingesting, transforming, and loading both structured and unstructured data from diverse and numerous sources, leveraging Bloomberg's technology stack
+ Lead the development and implementation of proactive programmatic data quality strategies with enhanced observability, transparency, and robust remediation workflows, enabling rapid identification and resolution of data issues with minimal client disruption
+ Use your analytical experience to analyze internal processes to identify gaps and opportunities, engineering innovative, efficient workflows that enhance scalability, data coverage, and client value
+ Collaborate closely with cross-functional and counterpart teams to ensure alignment on consistent principles, shared tooling, and measurable outcomes
+ Mentor early-career team members, fostering collaboration, knowledge-sharing, and professional growth
+ Lead cross-functional, strategic data initiatives, applying proven project management skills to ensure successful project delivery aligned with business objectives
**You'll Need to Have:**
+ 4+ years of experience architecting, designing, and implementing scalable data solutions and ETL pipelines, including monitoring, remediation, and data management workflows across diverse data sources
+ 4+ years of hands-on experience with Python and SQL/NoSQL databases, experience with technologies such as Amazon S3, AWS Lambda, Apache Kafka, and Apache Airflow
+ Proven ability to mentor team members, clearly communicate complex concepts and methodologies, and effectively collaborate across diverse and distributed teams
+ Leadership experience, either as a formal/informal people leader or as a program/project technical lead
+ Demonstrated success driving or significantly contributing to strategic initiatives, showcasing continuous career growth within organizations
+ Strong problem-solving skills, numerical proficiency, and meticulous attention to detail
**We'd love to See:**
+ DAMA Certified Data Management Professional, Data Capability Assessment Model certification
+ Direct experience with equity corporate actions data, or similar financial data sets
+ Keen interest in financial markets
Does this sound like you? Apply if you think we're a good match. We'll get in touch to let you know what the next steps are.
Salary Range = 11000 - 19000 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

**Become a part of our caring community and help us put health first**
The Encounter Data Management Professional ensures data integrity for claims errors. The Encounter Data Management Professional work assignments are varied and frequently require interpretation and independent determination of the appropriate courses of action.
The Encounter Data Management Professional develops business processes to ensure successful submission and reconciliation of encounter submissions to Medicaid/Medicare. Ensures encounter submissions meet or exceed all compliance standards via analysis of data and develops tools to enhance the encounter acceptance rate by Medicaid/Medicare. Looks for long term improvements of encounter submission processes. Understands department, segment, and organizational strategy and operating objectives, including their linkages to related areas. Makes decisions regarding own work methods, occasionally in ambiguous situations, and requires minimal direction and receives guidance where needed. Follows established guidelines/procedures.
**Use your skills to make an impact**
**Required Qualifications**
+ 1 - 5 years or more of claims processing experience
+ Minimum of 1 year experience in conducting thorough root cause analysis and resolution
+ Maintain clear and current documentation of project processes for future and ongoing reference
+ Experienced in analytical reasoning and decision-making and problem-solving skills
+ Ability to manage multiple tasks and deadlines with attention to detail
+ Strong verbal and written communication abilities
+ Comprehensive knowledge of all Microsoft Office applications, including Word, PowerPoint, Outlook, and Excel
**Preferred Qualifications**
+ Bachelor's degree in business, Finance, Accounting, Operations or other related fields
+ X12 experience
+ Prior health insurance industry experience
+ Working knowledge of Microsoft SQL or SAS
**Additional Information**
**Interview Format**
As part of our hiring process, we will be using an exciting interviewing technology provided by HireVue, a third-party vendor. This technology provides our team of recruiters and hiring managers an enhanced method for decision-making.
If you are selected to move forward from your application prescreen, you will receive correspondence inviting you to participate in a pre-recorded Voice Interview and/or an SMS Text Messaging interview. If participating in a pre-recorded interview, you will respond to a set of interview questions via your phone. You should anticipate this interview to take approximately 10-15 minutes.
**Work-At-Home Requirements:**
+ WAH requirements: Must have the ability to provide a high-speed DSL or cable modem for a home office. Associates or contractors who live and work from home in the state of California will be provided payment for their internet expense.
+ A minimum standard speed for optimal performance of 25x10 (25mpbs download x 10mpbs upload) is required.
+ Satellite and Wireless Internet service is NOT allowed for this role.
+ A dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information
Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.
**Scheduled Weekly Hours**
40
**Pay Range**
The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.
$65,000 - $88,600 per year
This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.
**Description of Benefits**
Humana, Inc. and its affiliated subsidiaries (collectively, "Humana") offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.
Application Deadline: 10-30-2025
**About us**
Humana Inc. (NYSE: HUM) is committed to putting health first - for our teammates, our customers and our company. Through our Humana insurance services and CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health - delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare, Medicaid, families, individuals, military service personnel, and communities at large.

**Equal Opportunity Employer**
It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.
Humana complies with all applicable federal civil rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity or religion. We also provide free language interpreter services. See our

**Become a part of our caring community and help us put health first**
The Encounter Data Management Professional ensures data integrity for claims errors. The Encounter Data Management Professional work assignments are varied and frequently require interpretation and independent determination of the appropriate courses of action.
The Encounter Data Management Professional develops business processes to ensure successful submission and reconciliation of encounter submissions to Medicaid/Medicare. Ensures encounter submissions meet or exceed all compliance standards via analysis of data, and develops tools to enhance the encounter acceptance rate by Medicaid/Medicare. Looks for long term improvements of encounter submission processes. Understands department, segment, and organizational strategy and operating objectives, including their linkages to related areas. Makes decisions regarding own work methods, occasionally in ambiguous situations, and requires minimal direction and receives guidance where needed. Follows established guidelines/procedures.
**Use your skills to make an impact**
**Required Qualifications**
+ 1-5+ years of demonstrated experiencein claims processing
+ Minimum 1 year of proven successin root cause analysis and resolution
+ Skilled in documenting processesclearly and thoroughly for future reference
+ Strong analytical and critical thinking abilities
+ Proven abilityto manage multiple priorities with attention to detail
+ Excellent communication skills
+ Proficient in Microsoft Office, including Word, PowerPoint, Outlook, and Excel
**Preferred Qualifications**
+ Bachelor's degree in business, Finance, Accounting, Operations or other related fields
+ X12 experience
+ Prior health insurance industry experience
+ Working knowledge of Microsoft SQL or SAS
**Additional Information**
As part of our hiring process, we will be using an exciting interviewing technology provided by HireVue, a third-party vendor. This technology provides our team of recruiters and hiring managers an enhanced method for decision-making.
If you are selected to move forward from your application prescreen, you will receive correspondence inviting you to participate in a pre-recorded Voice Interview and/or an SMS Text Messaging interview. If participating in a pre-recorded interview, you will respond to a set of interview questions via your phone. You should anticipate this interview to take approximately 10-15 minutes.
**Work-At-Home Requirements:**
+ WAH requirements: Must have the ability to provide a high-speed DSL or cable modem for a home office. Associates or contractors who live and work from home in the state of California will be provided payment for their internet expense.
+ A minimum standard speed for optimal performance of 25x10 (25mpbs download x 10mpbs upload) is required.
+ Satellite and Wireless Internet service is NOT allowed for this role.
+ A dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information
Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.
**Scheduled Weekly Hours**
40
**Pay Range**
The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.
$65,000 - $88,600 per year
This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.
**Description of Benefits**
Humana, Inc. and its affiliated subsidiaries (collectively, "Humana") offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.
Application Deadline: 10-31-2025
**About us**
Humana Inc. (NYSE: HUM) is committed to putting health first - for our teammates, our customers and our company. Through our Humana insurance services and CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health - delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare, Medicaid, families, individuals, military service personnel, and communities at large.

**Equal Opportunity Employer**
It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.
Humana complies with all applicable federal civil rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity or religion. We also provide free language interpreter services. See our