16,974 Lead Data Engineer jobs in the United States
Lead Data Engineer - Big Data
Posted 2 days ago
Job Viewed
Job Description
About the Role:
Grade Level (for internal use):
12About the Role:
Title: Lead Data Engineer – Big Data
The Team:
You will be an expert contributor and part of the Rating Organization’s Ingestion Pipelines Engineering Team. This team, who has a broad and expert knowledge on Ratings organization’s critical data domains, technology stacks and architectural patterns, fosters knowledge sharing and collaboration that results in a unified strategy. All Data Services team members provide leadership, innovation, timely delivery, and the ability to articulate business value. Be a part of a unique opportunity to build and evolve S&P Ratings next gen Ingestion pipelines platform.
Responsibilities and Impact :
- Design & Build ingestion pipelines using ELT and schema on read in Databricks delta lake
- Design & Develop “Transformations” aspects using ELT framework to modernize the Ingestion pipelines and build data transformations at scale
- Provide technical expertise in the areas of design and implementation of Ratings Data Ingestion pipelines with modern AWS cloud and other technologies such as S3, Hive, Databricks, Scala, Python and Large-scale data analytics tools
- Build and maintain a data environment for speed, accuracy, consistency and ‘up’ time
- Work closely with other data teams & Data Science team and participate in development of Ingestion pipelines
- Ensure data governance principles adopted, data quality checks and data lineage implemented in each hop of the data
- Be in tune with emerging trends Big data and cloud technologies and participate in evaluation of new technologies
- Ensure compliance through the adoption of enterprise standards and promotion of best practice / guiding principles aligned with organization standards
Compensation/Benefits Information :
S&P Global states that the anticipated base salary range for this position is $118,094 to $237,100. Final base salary for this role will be based on the individual’s geographic location, as well as experience level, skill set, training, licenses and certifications.
In addition to base compensation, this role is eligible for an annual incentive plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here.
What We’re Looking For:
Required Qualifications:
- BE, MCA or MS degree in Computer Science or Information Technology.
- 10+ years of experience as Data Engineer at an innovative organization
- 5+ years of hands-on experience in implementing data lake systems using AWS/Azure cloud technologies such as S3, Databricks, Hive, Large-scale data analytics tools & Scala, Python etc.
- 3+ years of Expertise in building application using Data stream processing tools, Golden Gate etc. for building ingestion pipeline for Bulk and incremental data loads.
- Strong expertise (preferable 5 yrs) in SDLC cycle including stakeholder management, people management, risk management, strategic management, communication management
- Should be in position to handle issue resolution and provide direction to teams both technically and functionally
- Experience with development frameworks as well as data and integration technologies such as Python, Scala
- Experience in microservices and API design and implementation, with service-oriented architectures, SOAP and RESTful APIs
- Hands-on experience in developing scalable data pipeline using technologies like Data stream processing tools, Databricks, Large-scale data analytics tools and Scala applying ETL and ELT concepts
- Deep Experience with three or more technologies of Java/J2EE, C#, AWS, Large-scale data analytics tools, Python, Scala, any RDBMS, Data stream processing tools, Informatica, Angular/ReactJS, Databricks, Cloud-native orchestration tools
- Experience with Continuous integration and deployment tools like Jenkins and Azure DevOps
- Experience working in UNIX/Linux environment including shell scripting
- Strong understanding of cloud native architectures, design patterns and best practices
- Should be in position to articulate and convert requirements into solution.
- Knowledgeable in technology and industry trends with ability to develop and present substantive technical solutions
- Knowledge of Agile approaches to software development and able to put key Agile principles into practice to deliver solutions incrementally
- Quality first mindset with a strong background and experience developing products for a global audience at scale
- Excellent analytical thinking, interpersonal, oral, and written communication skills with strong ability to influence both IT and business partners
Additional Preferred Qualifications:
- Experience With Machine Learning Libraries and Frameworks (TensorFlow, MLlib) is an added advantage
- Monitors industry trends and directions; develops and presents substantive technical recommendations to senior management
- Excellent analytical thinking, interpersonal, oral, and written communication skills with strong ability to influence both IT and business partners
- Ability to prioritize and manage work to critical project timelines in a fast-paced environment
- Financial services industry experience
Right to Work Requirements:
This role is limited to persons with right to work in the United States.
Return to Work:
Have you taken time out for caring responsibilities and are now looking to return to work? As part of our Return to Work initiative, Restart, we are encouraging enthusiastic and talented returners to apply, and will actively support your return to the workplace.
About S&P Global Ratings
At S&P Global Ratings, our analyst-driven credit ratings, research, and sustainable finance opinions provide critical insights that are essential to translating complexity into clarity so market participants can uncover opportunities and make decisions with conviction. By bringing transparency to the market through high-quality independent opinions on creditworthiness, we enable growth across a wide variety of organizations, including businesses, governments, and institutions.
S&P Global Ratings is a division of S&P Global (NYSE: SPGI). S&P Global is the world’s foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world’s leading organizations navigate the economic landscape so they can plan for tomorrow, today.
For more information, visit
What’s In It For You?
Our Purpose:
Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world.
Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress.
Our People:
We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.
Our Values:
Integrity, Discovery, Partnership
At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.
Benefits:
We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global.
Our benefits include:
-
Health & Wellness: Health care coverage designed for the mind and body.
Flexible Downtime: Generous time off helps keep you energized for your time on.
Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.
For more information on benefits by country visit:
Global Hiring and Opportunity at S&P Global:
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
S&P Global has a Securities Disclosure and Trading Policy (“the Policy”) that seeks to mitigate conflicts of interest by monitoring and placing restrictions on personal securities holding and trading. The Policy is designed to promote compliance with global regulations. In some Divisions, pursuant to the Policy’s requirements, candidates at S&P Global may be asked to disclose securities holdings. Some roles may include a trading prohibition and remediation of positions when there is an effective or potential conflict of interest. Employment at S&P Global is contingent upon compliance with the Policy.
Recruitment Fraud Alert:
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here.
---
Equal Opportunity Employer
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an email to: and your request will be forwarded to the appropriate person.
US Candidates Only: The EEO is the Law Poster describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision -
---
20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning)Job ID: 298427
Posted On: 2025-06-26
Location: Virtual, Nevada, United States
Lead Data Engineer - Big Data
Posted 9 days ago
Job Viewed
Job Description
**Grade Level (for internal use):**
12
About the Role:
Title: Lead Data Engineer - Big Data
**The Team:**
You will be an expert contributor and part of the Rating Organization's Ingestion Pipelines Engineering Team. This team, who has a broad and expert knowledge on Ratings organization's critical data domains, technology stacks and architectural patterns, fosters knowledge sharing and collaboration that results in a unified strategy. All Data Services team members provide leadership, innovation, timely delivery, and the ability to articulate business value. Be a part of a unique opportunity to build and evolve S&P Ratings next gen Ingestion pipelines platform.
**Responsibilities and Impact** :
+ Design & Build ingestion pipelines using ELT and schema on read in Databricks delta lake
+ Design & Develop "Transformations" aspects using ELT framework to modernize the Ingestion pipelines and build data transformations at scale
+ Provide technical expertise in the areas of design and implementation of Ratings Data Ingestion pipelines with modern AWS cloud and other technologies such as S3, Hive, Databricks, Scala, Python and Large-scale data analytics tools
+ Build and maintain a data environment for speed, accuracy, consistency and 'up' time
+ Work closely with other data teams & Data Science team and participate in development of Ingestion pipelines
+ Ensure data governance principles adopted, data quality checks and data lineage implemented in each hop of the data
+ Be in tune with emerging trends Big data and cloud technologies and participate in evaluation of new technologies
+ Ensure compliance through the adoption of enterprise standards and promotion of best practice / guiding principles aligned with organization standards
**Compensation/Benefits Information** :
S&P Global states that the anticipated base salary range for this position is $118,094 to $237,100. Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses and certifications.
In addition to base compensation, this role is eligible for an annual incentive plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here ( .
**What We're Looking For:**
**Required Qualifications:**
+ BE, MCA or MS degree in Computer Science or Information Technology.
+ 10+ years of experience as Data Engineer at an innovative organization
+ 5+ years of hands-on experience in implementing data lake systems using AWS/Azure cloud technologies such as S3, Databricks, Hive, Large-scale data analytics tools & Scala, Python etc.
+ 3+ years of Expertise in building application using Data stream processing tools, Golden Gate etc. for building ingestion pipeline for Bulk and incremental data loads.
+ Strong expertise (preferable 5 yrs) in SDLC cycle including stakeholder management, people management, risk management, strategic management, communication management
+ Should be in position to handle issue resolution and provide direction to teams both technically and functionally
+ Experience with development frameworks as well as data and integration technologies such as Python, Scala
+ Experience in microservices and API design and implementation, with service-oriented architectures, SOAP and RESTful APIs
+ Hands-on experience in developing scalable data pipeline using technologies like Data stream processing tools, Databricks, Large-scale data analytics tools and Scala applying ETL and ELT concepts
+ Deep Experience with three or more technologies of Java/J2EE, C#, AWS, Large-scale data analytics tools, Python, Scala, any RDBMS, Data stream processing tools, Informatica, Angular/ReactJS, Databricks, Cloud-native orchestration tools
+ Experience with Continuous integration and deployment tools like Jenkins and Azure DevOps
+ Experience working in UNIX/Linux environment including shell scripting
+ Strong understanding of cloud native architectures, design patterns and best practices
+ Should be in position to articulate and convert requirements into solution.
+ Knowledgeable in technology and industry trends with ability to develop and present substantive technical solutions
+ Knowledge of Agile approaches to software development and able to put key Agile principles into practice to deliver solutions incrementally
+ Quality first mindset with a strong background and experience developing products for a global audience at scale
+ Excellent analytical thinking, interpersonal, oral, and written communication skills with strong ability to influence both IT and business partners
**Additional Preferred Qualifications:**
+ Experience With Machine Learning Libraries and Frameworks (TensorFlow, MLlib) is an added advantage
+ Monitors industry trends and directions; develops and presents substantive technical recommendations to senior management
+ Excellent analytical thinking, interpersonal, oral, and written communication skills with strong ability to influence both IT and business partners
+ Ability to prioritize and manage work to critical project timelines in a fast-paced environment
+ Financial services industry experience
**Right to Work Requirements:**
This role is limited to persons with right to work in the United States.
**Return to Work:**
Have you taken time out for caring responsibilities and are now looking to return to work? As part of our Return to Work initiative, Restart, we are encouraging enthusiastic and talented returners to apply, and will actively support your return to the workplace.
**About S&P Global Ratings**
At S&P Global Ratings, our analyst-driven credit ratings, research, and sustainable finance opinions provide critical insights that are essential to translating complexity into clarity so market participants can uncover opportunities and make decisions with conviction. By bringing transparency to the market through high-quality independent opinions on creditworthiness, we enable growth across a wide variety of organizations, including businesses, governments, and institutions.
S&P Global Ratings is a division of S&P Global (NYSE: SPGI). S&P Global is the world's foremost provider of credit ratings, benchmarks, analytics and workflow solutions in the global capital, commodity and automotive markets. With every one of our offerings, we help many of the world's leading organizations navigate the economic landscape so they can plan for tomorrow, today.
For more information, visit In It For** **You?**
**Our Purpose:**
Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology-the right combination can unlock possibility and change the world.
Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress.
**Our People:**
We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We're constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.
**Our Values:**
**Integrity, Discovery, Partnership**
At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of **integrity** in all we do, bring a spirit of **discovery** to our work, and collaborate in close **partnership** with each other and our customers to achieve shared goals.
**Benefits:**
We take care of you, so you can take care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global.
Our benefits include:
+ Health & Wellness: Health care coverage designed for the mind and body.
+ Flexible Downtime: Generous time off helps keep you energized for your time on.
+ Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
+ Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
+ Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
+ Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference.
For more information on benefits by country visit: Hiring and Opportunity at S&P Global:**
At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.
S&P Global has a Securities Disclosure and Trading Policy ("the Policy") that seeks to mitigate conflicts of interest by monitoring and placing restrictions on personal securities holding and trading. The Policy is designed to promote compliance with global regulations. In some Divisions, pursuant to the Policy's requirements, candidates at S&P Global may be asked to disclose securities holdings. Some roles may include a trading prohibition and remediation of positions when there is an effective or potential conflict of interest. Employment at S&P Global is contingent upon compliance with the Policy.
**Recruitment Fraud Alert:**
If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here ( .
---
**Equal Opportunity Employer**
S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an email to:? ?and your request will be forwarded to the appropriate person?
**US Candidates Only:** The EEO is the Law Poster ? describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - - Professional (EEO-2 Job Categories-United States of America), IFTECH202.2 - Middle Professional Tier II (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)
**Job ID:** 298427
**Posted On:** 2025-06-26
**Location:** Virtual, Nevada, United States
Lead Data Engineer (Big Data, AWS)
Posted today
Job Viewed
Job Description
Lead Data Engineer (Big Data, AWS)
Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you&ll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Lead Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One.
What You'll Do:
Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems
Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance
Basic Qualifications:
Bachelor's Degree
At least 4 years of experience in application development (Internship experience does not apply)
At least 2 years of experience in big data technologies
At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
Preferred Qualifications:
7+ years of experience in application development including Python, SQL, Scala, or Java
4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
4+ year experience working on Real Time data and streaming applications
4+ years of experience with NoSQL implementation (Mongo, Cassandra)
4+ years of data warehousing experience (Redshift or Snowflake)
4+ years of experience with UNIX/Linux including basic commands and Shell Scripting
2+ years of experience with Agile engineering practices
At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (ie H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, or another type of work authorization).
The minimum and maximum Full time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $193,400 - $20,700 for Lead Data EngineerRichmond, VA: 175,800 - 200,700 for Lead Data EngineerCandidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at (see below) . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One&s recruiting process, please send an email to (see below)
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Lead Data Engineer
Posted today
Job Viewed
Job Description
ManTech seeks a motivated, career and customer-oriented Lead Data Engineer to join our Data and AI Practice onsite in Chantilly and/or Herndon, VA. You will be a part of a dynamic, cross-functional team focused on transforming how Government clients extract insights from data to achieve critical mission objectives. This leadership role involves guiding a team and collaborating with others to implement this transformative process. You will be responsible for providing expert guidance and support in the analysis, design, implementation, and optimization of complex, enterprise-wide, cloud-based database solutions that align with mission goals and requirements.
Responsibilities include but are not limited to:
- Lead the design, development, and deployment of robust data pipelines and data storage solutions to integrate data from various systems and networks, ensuring seamless data migration
- Collaborate with cloud and system architects to design databases to meet customer needs.
- Work with data consumers to develop data requirements to support analytics and machine learning tasks.
- Implement data pipelines and data storage solutions to support analytic workflows.
- Optimize data pipelines and storage solutions for performance, ensuring low latency and high throughput for real-time and batch data processing.
- Provisioning and managing database instances, setting up replication and high availability, and monitoring database performance
- Implement robust security measures to protect sensitive data and ensure compliance with relevant data security policies and practices.
Minimum Qualifications:
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field and at least 10 years of experience in data engineering, data architecture, or related roles
- Experience in database services from cloud services providers such as Oracle
- Demonstrated ability to lead and manage a team of engineers
- Direct line management experience, including project, people, customer, and financial management
- Experience with data warehousing, data lakes, and big data technologies
- Experience with SQL and NoSQL databases
Preferred Qualifications:
- Master’s degree in Computer Science, Information Technology, Engineering, or a related field
- Familiarity with data security and compliance frameworks (e.g., NIST framework)
- Cloud certifications such as AWS Certified Developer, Oracle Cloud Infrastructure
- Familiarity with records management policies and procedure
- Familiarity with big data technologies like Hadoop, Spark, and Kafka
- Knowledge of data governance and metadata management
Clearance Requirements:
- Must possess a current and active TS/SCI with polygraph
Physical Requirements:
- Must be able to be in a stationary position more than 50% of the time
- Must be able to communicate, converse, and exchange information with peers and senior personnel
- Constantly operates a computer and other office productivity machinery, such as a computer
- The person in this position frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations
- The person in this position needs to occasionally move about inside the office to access file cabinets, office machinery, etc.
Lead Data Engineer
Posted today
Job Viewed
Job Description
ManTech seeks a motivated, career and customer-oriented Lead Data Engineer to join our Data and AI Practice onsite in Chantilly and/or Herndon, VA. You will be a part of a dynamic, cross-functional team focused on transforming how Government clients extract insights from data to achieve critical mission objectives. This leadership role involves guiding a team and collaborating with others to implement this transformative process. You will be responsible for providing expert guidance and support in the analysis, design, implementation, and optimization of complex, enterprise-wide, cloud-based data migration solutions that align with mission goals and requirements.
Responsibilities include but are not limited to:
- Lead the design, development, and deployment of robust data pipelines to ingest, transform, and integrate data from various systems and networks, ensuring seamless data flow.
- Collaborate with cloud and system architects to establish secure and efficient data transfer protocols among different networks and systems.
- Work with data consumers to develop data requirements to support analytics and machine learning tasks.
- Implement data pipelines and data storage solutions to support analytic workflows.
- Optimize data pipelines and storage solutions for performance, ensuring low latency and high throughput for real-time and batch data processing.
- Implement robust security measures to protect sensitive data and ensure compliance with relevant data security policies and practices.
Minimum Qualifications:
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field and at least 10 years of experience in data engineering, data architecture, or related roles
- Experience with data replication and change data capture tools such as Oracle GoldenGate
- Experience with cloud services from providers such as Oracle and their data storage and database services
- Demonstrated ability to lead and manage a team of engineers
- Direct line management experience, including project, people, customer, and financial management
- Experience with data warehousing, data lakes, and big data technologies
- Proficiency in programming languages such as Python, Java, or SQL. Experience with SQL and NoSQL databases
Preferred Qualifications:
- Master’s degree in Computer Science, Information Technology, Engineering, or a related field.
- Familiarity with data security and compliance frameworks (e.g., NIST framework).
- Cloud certifications such as AWS Certified Developer, Oracle Cloud Infrastructure.
- Familiarity with records management policies and procedure.
- Familiarity with big data technologies like Hadoop, Spark, and Kafka.
- Knowledge of data governance and metadata management.
Clearance Requirements:
- Must possess a current and active TS/SCI with polygraph
Physical Requirements:
- Must be able to be in a stationary position more than 50% of the time
- Must be able to communicate, converse, and exchange information with peers and senior personnel
- Constantly operates a computer and other office productivity machinery, such as a computer
- The person in this position frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations
- The person in this position needs to occasionally move about inside the office to access file cabinets, office machinery, etc.
Lead Data Engineer
Posted today
Job Viewed
Job Description
ManTech seeks a motivated, career and customer-oriented Lead Data Engineer to join our Data and AI Practice onsite in Chantilly and/or Herndon, VA. You will be a part of a dynamic, cross-functional team focused on transforming how Government clients extract insights from data to achieve critical mission objectives. This leadership role involves guiding a team and collaborating with others to implement this transformative process. You will be responsible for providing expert guidance and support in the analysis, design, implementation, and optimization of complex, enterprise-wide, cloud-based data migration solutions that align with mission goals and requirements.
Responsibilities include but are not limited to:
- Lead the design, development, and deployment of robust data pipelines to ingest, transform, and integrate data from various systems and networks, ensuring seamless data flow.
- Collaborate with cloud and system architects to establish secure and efficient data transfer protocols among different networks and systems.
- Work with data consumers to develop data requirements to support analytics and machine learning tasks.
- Implement data pipelines and data storage solutions to support analytic workflows.
- Optimize data pipelines and storage solutions for performance, ensuring low latency and high throughput for real-time and batch data processing.
- Implement robust security measures to protect sensitive data and ensure compliance with relevant data security policies and practices.
Minimum Qualifications:
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field and at least 10 years of experience in data engineering, data architecture, or related roles
- Experience with data replication and change data capture tools such as Oracle GoldenGate
- Experience with cloud services from providers such as Oracle and their data storage and database services
- Demonstrated ability to lead and manage a team of engineers
- Direct line management experience, including project, people, customer, and financial management
- Experience with data warehousing, data lakes, and big data technologies
- Proficiency in programming languages such as Python, Java, or SQL. Experience with SQL and NoSQL databases
Preferred Qualifications:
- Master’s degree in Computer Science, Information Technology, Engineering, or a related field.
- Familiarity with data security and compliance frameworks (e.g., NIST framework).
- Cloud certifications such as AWS Certified Developer, Oracle Cloud Infrastructure.
- Familiarity with records management policies and procedure.
- Familiarity with big data technologies like Hadoop, Spark, and Kafka.
- Knowledge of data governance and metadata management.
Clearance Requirements:
- Must possess a current and active TS/SCI with polygraph
Physical Requirements:
- Must be able to be in a stationary position more than 50% of the time
- Must be able to communicate, converse, and exchange information with peers and senior personnel
- Constantly operates a computer and other office productivity machinery, such as a computer
- The person in this position frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations
- The person in this position needs to occasionally move about inside the office to access file cabinets, office machinery, etc.
Lead Data Engineer
Posted today
Job Viewed
Job Description
ManTech seeks a motivated, career and customer-oriented Lead Data Engineer to join our Data and AI Practice onsite in Chantilly and/or Herndon, VA. You will be a part of a dynamic, cross-functional team focused on transforming how Government clients extract insights from data to achieve critical mission objectives. This leadership role involves guiding a team and collaborating with others to implement this transformative process. You will be responsible for providing expert guidance and support in the analysis, design, implementation, and optimization of complex, enterprise-wide, cloud-based database solutions that align with mission goals and requirements.
Responsibilities include but are not limited to:
- Lead the design, development, and deployment of robust data pipelines and data storage solutions to integrate data from various systems and networks, ensuring seamless data migration
- Collaborate with cloud and system architects to design databases to meet customer needs.
- Work with data consumers to develop data requirements to support analytics and machine learning tasks.
- Implement data pipelines and data storage solutions to support analytic workflows.
- Optimize data pipelines and storage solutions for performance, ensuring low latency and high throughput for real-time and batch data processing.
- Provisioning and managing database instances, setting up replication and high availability, and monitoring database performance
- Implement robust security measures to protect sensitive data and ensure compliance with relevant data security policies and practices.
Minimum Qualifications:
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field and at least 10 years of experience in data engineering, data architecture, or related roles
- Experience in database services from cloud services providers such as Oracle
- Demonstrated ability to lead and manage a team of engineers
- Direct line management experience, including project, people, customer, and financial management
- Experience with data warehousing, data lakes, and big data technologies
- Experience with SQL and NoSQL databases
Preferred Qualifications:
- Master’s degree in Computer Science, Information Technology, Engineering, or a related field
- Familiarity with data security and compliance frameworks (e.g., NIST framework)
- Cloud certifications such as AWS Certified Developer, Oracle Cloud Infrastructure
- Familiarity with records management policies and procedure
- Familiarity with big data technologies like Hadoop, Spark, and Kafka
- Knowledge of data governance and metadata management
Clearance Requirements:
- Must possess a current and active TS/SCI with polygraph
Physical Requirements:
- Must be able to be in a stationary position more than 50% of the time
- Must be able to communicate, converse, and exchange information with peers and senior personnel
- Constantly operates a computer and other office productivity machinery, such as a computer
- The person in this position frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations
- The person in this position needs to occasionally move about inside the office to access file cabinets, office machinery, etc.
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Lead Data Engineer
Posted 1 day ago
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Job Description
Company Description Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose - to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description The Data and Artificial Intelligence Platform (DAP) is a critical component of Visa's Technology organization, providing the essential technology and processes to manage Visa's extensive data and AI assets and deliver valuable intelligence, products, and services to customers. Within DAP, the Data as a Service (DaaS) team consists of skilled data engineers focused on building data pipelines to meet Visa's data needs and delivers secure, high-quality, and easy-to-use Visa core data assets. We are seeking a Lead Data Engineer who will play a crucial role in developing next-generation enterprise-level data pipelines and data assets for Real Time and Batch Data ingestion and processing, incorporating Agentic AI to support Visa's 2030 strategy. In this role, you will collaborate with business partners, scrum masters, data engineers, and operations across the company to tackle complex, high-impact data-related initiatives on a global scale. You will also guide and mentor junior engineers, ensuring security, scalability, performance, and reliability in all data solutions. As an individual contributor based in Foster City, California, USA you will be reporting to Sr. Director of Data as a Service (DaaS) team. About the Role: Oversee the entire data lifecycle, from data acquisition and ingestion to transformation, storage, and governance for both streaming and batch data pipelines and assets. Lead the analysis, design, development, and implementation of various initiatives, with end-to-end ownership to deliver business capabilities. Ensure data security, privacy, governance, and compliance with all relevant regulations, and develop and implement auditable policies and procedures. Actively contribute with hands on development to critical projects by developing reusable modules, core frameworks and automation tools. Develop new products iteratively by building quick Proofs of Concept (POCs) and converting ideas into real products. Establish engineering best practices for application development, testing, deployment and monitoring. Champion the adoption of GenAI and Agentic AI technologies and develop strategies to integrate them into existing data pipeline workflows or develop new ones. Leverage AI/ML technologies in bringing productivity across the SDLC phases. Provide technology leadership and motivate a high performing team of data engineers through coaching and mentoring and elevate team talent expertise fostering a culture of innovation and continuous learning. Adhere to Visa's Leadership Principles by promoting collaboration, encouraging constructive debate, and executing with excellence. This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Qualifications Basic Qualifications: *10 or more years of work experience with a Bachelor's Degree or at least 8 years of work experience with an Advanced Degree (e.g. Masters/ MBA/JD/MD) or at least 3 years of work experience with a PhD Preferred Qualifications: *12 or more years of work experience with a Bachelor's Degree or 8-10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6+ years of work experience with a PhD *Proven track record of building and deploying complex architectures for streaming and batch ETL pipelines using the latest Big Data technologies. *Expertise with Apache Spark, Kafka, Hadoop, Hive, Trino, Presto, Apache Airflow and NoSQL databases like Hbase working with PB level data volume. *Advanced proficiency and expertise in Scala, Java, Python, J2EE technologies, Microservices and REST APIs. *Hands on Experience in on-prem (Hadoop) and cloud-based data platforms (AWS, Azure, DataBricks) and related data storage (HDFS, S3) and processing tools (Spark) *Experience with GenAI or Agentic AI technologies (e.g., LLMs, NLP) and RAG-based architecture and MCP and Vector DBs. *Experience developing proper metrics instrumentation in software components using Prometheus, Grafana for monitoring, logging, auditing, and security implementation to help facilitate real-time and remote problem solving /performance monitoring is highly preferred. *Experience in deployment with automated and scalable CI/CD tools, including Jenkins and Maven *Experience with containerization technologies and orchestration tools, including Docker and Kubernetes preferred. *Highly motivated, self-driven, resourceful, and results-oriented. *Excellent written and verbal communication skills, interpersonal and presentation skills, and proven ability to influence and communicate effectively. Additional Information Work Hours: Varies upon the needs of the department. Travel Requirements: This position requires travel5-10% of the time. Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code. U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 194,600.00 to 282,150.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. #J-18808-Ljbffr
Lead Data Engineer
Posted 2 days ago
Job Viewed
Job Description
Join to apply for the Lead Data Engineer role at Visa Join to apply for the Lead Data Engineer role at Visa Get AI-powered advice on this job and more exclusive features. Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description The Data and Artificial Intelligence Platform (DAP) is a critical component of Visa's Technology organization, providing the essential technology and processes to manage Visa's extensive data and AI assets and deliver valuable intelligence, products, and services to customers. Within DAP, the Data as a Service (DaaS) team consists of skilled data engineers focused on building data pipelines to meet Visa's data needs and delivers secure, high-quality, and easy-to-use Visa core data assets. We are seeking a Lead Data Engineer who will play a crucial role in developing next-generation enterprise-level data pipelines and data assets for Real Time and Batch Data ingestion and processing, incorporating Agentic AI to support Visa's 2030 strategy. In this role, you will collaborate with business partners, scrum masters, data engineers, and operations across the company to tackle complex, high-impact data-related initiatives on a global scale. You will also guide and mentor junior engineers, ensuring security, scalability, performance, and reliability in all data solutions. As an individual contributor based in Foster City, California, USA you will be reporting to Sr. Director of Data as a Service (DaaS) team. About the Role: Oversee the entire data lifecycle, from data acquisition and ingestion to transformation, storage, and governance for both streaming and batch data pipelines and assets. Lead the analysis, design, development, and implementation of various initiatives, with end-to-end ownership to deliver business capabilities. Ensure data security, privacy, governance, and compliance with all relevant regulations, and develop and implement auditable policies and procedures. Actively contribute with hands on development to critical projects by developing reusable modules, core frameworks and automation tools. Develop new products iteratively by building quick Proofs of Concept (POCs) and converting ideas into real products. Establish engineering best practices for application development, testing, deployment and monitoring. Champion the adoption of GenAI and Agentic AI technologies and develop strategies to integrate them into existing data pipeline workflows or develop new ones. Leverage AI/ML technologies in bringing productivity across the SDLC phases. Provide technology leadership and motivate a high performing team of data engineers through coaching and mentoring and elevate team talent expertise fostering a culture of innovation and continuous learning. Adhere to Visa's Leadership Principles by promoting collaboration, encouraging constructive debate, and executing with excellence. This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Qualifications Basic Qualifications: •10 or more years of work experience with a Bachelor’s Degree or at least 8 years of work experience with an Advanced Degree (e.g. Masters/ MBA/JD/MD) or at least 3 years of work experience with a PhD Preferred Qualifications: •12 or more years of work experience with a Bachelor’s Degree or 8-10 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 6+ years of work experience with a PhD •Proven track record of building and deploying complex architectures for streaming and batch ETL pipelines using the latest Big Data technologies. •Expertise with Apache Spark, Kafka, Hadoop, Hive, Trino, Presto, Apache Airflow and NoSQL databases like Hbase working with PB level data volume. •Advanced proficiency and expertise in Scala, Java, Python, J2EE technologies, Microservices and REST APIs. •Hands on Experience in on-prem (Hadoop) and cloud-based data platforms (AWS, Azure, DataBricks) and related data storage (HDFS, S3) and processing tools (Spark) •Experience with GenAI or Agentic AI technologies (e.g., LLMs, NLP) and RAG-based architecture and MCP and Vector DBs. •Experience developing proper metrics instrumentation in software components using Prometheus, Grafana for monitoring, logging, auditing, and security implementation to help facilitate real-time and remote problem solving /performance monitoring is highly preferred. •Experience in deployment with automated and scalable CI/CD tools, including Jenkins and Maven •Experience with containerization technologies and orchestration tools, including Docker and Kubernetes preferred. •Highly motivated, self-driven, resourceful, and results-oriented. •Excellent written and verbal communication skills, interpersonal and presentation skills, and proven ability to influence and communicate effectively. Additional Information Work Hours: Varies upon the needs of the department. Travel Requirements: This position requires travel 5-10% of the time. Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code. U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 194,600.00 to 282,150.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Seniority level Seniority level Director Employment type Employment type Full-time Job function Industries IT Services and IT Consulting Referrals increase your chances of interviewing at Visa by 2x Sign in to set job alerts for “Data Engineer” roles. 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Lead Data Engineer
Posted 4 days ago
Job Viewed
Job Description
Genies is an AI avatar and games technology company powering the next generation of digital experiences through Smart Avatars. Genies' technology stack is rooted in empowering user generated content through the company's two main mantras:
"Anyone can create anything" & "Everything works with everything"
By combining these two guiding principles, individuals can craft limitless experiences while IP owners can build dynamic social gaming ecosystems powered by user-generated content (UGC) and AI Avatars-what Genies calls "Parties."
Genies' technology stack features a comprehensive suite of UGC tools that enable anyone to create AI avatars, complete with customizable fashion, props, behaviors, and personalities, as well as immersive AI avatar experiences. At its core is the Genies Avatar Framework , which leverages machine learning and computer graphics to ensure seamless interoperability across all user-generated AI avatars and experiences-unlocking boundless creative potential.
Early adopters of Genies' first gen avatars include icons like Justin Bieber, Rihanna, J Balvin, Migos, and thousands more. With offices in Los Angeles and San Francisco, Genies has raised $200M from notable investors including Silver Lake, BOND, NEA, and Bob Iger.
We are seeking a Lead Data Engineer who is passionate about building the foundational data infrastructure that empowers teams to make smarter decisions and deliver exceptional user experiences. In this hands-on leadership role, you will define how events are structured and organized while collaborating with product stakeholders to ensure clarity and alignment. You will design our data storage architecture, select the right systems and tools to enable business teams, and build high-quality pipelines that make data reliable and accessible.
What You'll Be Doing
- Own the definition and management of the structure for how events are created and organized, designing and maintaining event taxonomies, naming conventions, and guidelines while collaborating closely with product stakeholders to ensure alignment with business goals and product strategy.
- Define and determine the architecture around how we use data storage services, evaluating, recommending, and implementing appropriate storage solutions such as data warehouses, lakes, or transactional stores with a focus on scalability, reliability, security, and cost-effectiveness.
- Lead decision making on how data is used to empower business teams, for example by assessing and recommending analytics platforms to support self-serve product analytics and reporting, and guiding their integration with our broader data stack.
- Build and maintain robust, performant, and secure data pipelines and ETL processes, ensuring high-quality, well-documented, and maintainable code while working with stakeholders to prioritize and deliver features and improvements.
- Mentor and provide technical leadership to other engineers, establishing best practices for data modeling, testing, monitoring, and documentation to raise the quality and reliability of our data engineering work.
- 5+ years of experience in data engineering or a related field
- Strong experience designing and implementing data pipelines using modern orchestration frameworks (e.g., Airflow, Dagster)
- Expertise in SQL, data modeling, and schema design for analytical workloads
- Deep familiarity with cloud-based data storage solutions (e.g., Snowflake, BigQuery, Redshift) and data lakes
- Experience evaluating and integrating third-party analytics platforms (e.g., Mixpanel, Amplitude)
- Excellent communication and collaboration skills to work cross-functionally with product managers, engineers, and business stakeholders
- Proven ability to define and manage event tracking structures in large or growing products
- Leadership experience mentoring engineers and driving technical direction
- Ideal if candidate has experience working in growth stage companies
- You'll work with a team that you'll be able to learn from and grow with, including support for your own professional development
- You'll be at the helm of your own career, shaping it with your own innovative contributions to a nascent team and product with flexible hours and a work from home policy
- You'll enjoy the culture and perks of a startup, with the stability of being well funded
- Comprehensive health insurance for you and your family (Anthem + Kaiser Options Available), Dental and Vision Insurance
- Competitive salaries for all full time employees
- Unlimited paid time off, sick time, and paid company holidays, in addition to paid parental leave, bereavement leave, and jury duty leave for full-time employees
- Health & wellness support through programs such as monthly wellness reimbursement
- Working in a brand new, bright, open-environment and fun office space - there's even a slide!
- Choice of MacBook or windows laptop
Starting Salary: $15K - 265K