Data Engineer Jobs in District of Columbia
Data Engineer jobs in District of Columbia are concentrated in Washington DC, with additional demand in the surrounding Northern Virginia corridor and suburban Maryland, driven by federal agencies, defense contractors, and policy research organizations that run some of the largest data infrastructure programs in the country. Employers like Booz Allen Hamilton, Leidos, and the General Services Administration regularly hire data engineers for specialties including cloud data architecture, federal data governance, and real-time analytics pipelines. The market draws candidates at every level from junior pipeline developers to principal architects with security clearance experience. Scan the live roles below and apply to whichever ones fit.
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At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.
Senior AI/ML Data Engineer
Why This is an Exciting Role:
BI&A is seeking a highly experienced Senior AI/ML Data Engineer to lead the design and implementation of enterprise-scale data platforms supporting a large-scale Agentic AI transformation initiative. With extensive experience delivering AI and machine learning solutions in complex enterprise environments, you will serve as a technical leader responsible for architecting the data ecosystem that powers vector search, Retrieval-Augmented Generation (RAG), large language model (LLM) applications, and emerging Agentic AI capabilities. You will work across infrastructure, cybersecurity, software engineering, and mission stakeholders to rapidly deliver scalable, secure, and reliable AI solutions. This role requires a seasoned engineer capable of communicating complex technical concepts and architectural tradeoffs to senior leaders, helping leadership teams understand the operational, mission, security, and business implications of emerging AI technologies while driving successful implementation of enterprise capabilities.
KEY RESPONSIBILITIES
- Enterprise AI Platform Engineering: Architect, build, and maintain enterprise-scale data platforms supporting vector databases, semantic search, Retrieval-Augmented Generation (RAG), Agentic AI systems, and large language model applications.
- Data Architecture & Strategy: Establish and implement controls for data quality, lineage, source attribution, prompt and context traceability, explainability, and evaluation of AI system outputs.
- AI Data Governance: Establish and implement controls for data quality, lineage, source attribution, prompt and context traceability, explainability, and evaluation of AI system outputs.
- Technical Leadership: Lead architectural decision-making for AI-supporting data infrastructure, balancing performance, scalability, security, reliability, maintainability, and cost considerations.
- Cross-Functional Integration: Partner with Data Scientists, Machine Learning Engineers, Architects, Cybersecurity teams, and Software Engineers to translate AI requirements into production-grade capabilities.
- Executive Communication: Translate highly technical AI, machine learning, and data architecture concepts into clear operational impacts, risks, opportunities, and implementation considerations for senior leadership.
- Enterprise Coordination: Coordinate with stakeholders across multiple organizations to align AI initiatives, maximize reuse of enterprise capabilities, and eliminate duplication of effort.
- Operational Excellence: Implement monitoring, observability, and alerting to ensure the reliability, performance, and continuous improvement of AI-supporting data platforms.
- Mentorship & Engineering Excellence: Provide technical leadership and mentorship to engineers while promoting engineering best practices and innovation across the organization.
- Technology Evaluation: Assess emerging AI technologies, vector database platforms, retrieval frameworks, and engineering approaches to improve organizational AI capabilities.
Experience and Qualifications:
To be eligible for this demanding position, the ideal candidate should demonstrate the following experience and qualifications:
Required Education and Years of Experience:
- 20 Years of experience in AI/ML, Data, or Software Engineering roles or a highly related field of work with similar scope and responsibilities.
- A Bachelor’s degree may be substituted for 4 years of experience and a Master’s Degree may be substituted for 6 years of experience.
Required Qualifications:
- Active TS/SCI with CI Polygraph
- Expert proficiency in Python, SQL, and modern software engineering practices.
- Deep experience with Azure, AWS, or Google Cloud data and AI platforms.
- Strong understanding of distributed systems, cloud-native architectures, MLOps, and AI platform engineering.
- Experience implementing vector databases, embedding pipelines, retrieval systems, and Retrieval-Augmented Generation architectures.
- Experience with CI/CD pipelines, orchestration platforms, infrastructure automation, and observability tooling.
Desired Qualifications:
- Proven experience designing and delivering enterprise-scale AI, machine learning, generative AI, or Agentic AI solutions.
- Demonstrated success architecting and implementing production cloud-native data systems supporting advanced analytics and AI workloads.
- Proven experience working within complex enterprise environments managing security, infrastructure, technology dependencies, governance requirements, and competing priorities.
- Extensive experience designing data pipelines supporting machine learning models, vector databases, semantic search capabilities, and generative AI applications.
- Proven experience delivering complex technical solutions from strategic requirements through operational deployment while balancing schedule, performance, capability, and cost objectives.
- Experience building and operating enterprise-scale vector search, RAG, knowledge management, and LLM-based platforms.
- Experience supporting AI adoption efforts within large government, defense, intelligence, or highly regulated organizations.
Telework/Remote Availability: Hybrid work authorized (minimum 2-3 days onsite)
Work Location(s): Washington, DC or Reston, VA
Contingent Upon Program Award
The position is contingent upon program award.
Summary Pay Range:
Please note that the information shown below is a general guideline only. Pay is based upon candidate experience and qualifications, as well as market and business considerations.
$242,000 - $305,000
What Makes BI&A Different:
As a fully owned subsidiary of The Boeing Company, BI&A offers an optimal mix of a small company environment with exceptional opportunities supported by a large corporation.
Every day, Boeing Intelligence & Analytics supports global missions by building and delivering intelligence, analytics, and cyber solutions that enable users to advance national security. From hardware and software engineering solutions to analytics that keep this nation safe, we create value that meets users’ needs. With vibrant partnerships and innovative approaches, we serve the Intelligence Community through innovation and vision. We have provided our customers with the tools needed to counter evolve global and cyber threats, and to improve wartime decision-making.
- Our talented employees bring software development, systems engineering, and advanced analytics expertise.
- We offer numerous prime contract opportunities with customers headquartered in Maryland, Virginia, and the District of Columbia, as well as subcontract opportunities that align with our areas of focus and additional opportunities nationwide through our parent company.
- We have current open positions on awarded programs across diverse customer sets and are anticipating upcoming contract awards with a 5-year life cycle and an additional 5 option years.
- Our diverse portfolio allows our employees to move to other projects and teams as they gain further proficiency in their current skill set and learn new skill sets along the way.
- We offer hands-on access to cutting-edge technologies and a culture of technical excellence.
Application Privacy Policy: This notice pertains to the collection and processing of personal information of applicants to The Boeing Company and its group of companies (“Boeing”), worldwide.
To review Boeing’s Privacy Policy, copy and paste this link into a new tab and following the URL:
https://www.boeing.com/careers/privacy-statement
BI&A is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race,color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
Equal Employment Opportunity is the Law (PDF)
Equal Opportunity Employer:
We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to; race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law.
We have teams in more than 65 countries, and each person plays a role in helping us become one of the world’s most innovative, diverse and inclusive companies. We are proud members of the Valuable 500 and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited to: conducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews.
Your Benefits
No matter where you are in life, our benefits help prepare you for the present and the future.
- Generous company match to your 401(k).
- Industry-leading tuition assistance program pays your institution directly.
- Fertility, adoption, and surrogacy benefits.
- Up to $10,000 gift match when you support your favorite nonprofit organizations.
These programs are subject to eligibility requirements and other conditions, which may differ for employees of certain subsidiaries or business units, or union-represented employees depending on bargaining agreement terms. If this information conflicts with the program documents, the latter shall control. This material is informational only.
At Boeing, we innovate and collaborate to make the world a better place. We’re committed to fostering an environment for every teammate that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us.
Senior AI/ML Data Engineer
Why This is an Exciting Role:
BI&A is seeking a highly experienced Senior AI/ML Data Engineer to lead the design and implementation of enterprise-scale data platforms supporting a large-scale Agentic AI transformation initiative. With extensive experience delivering AI and machine learning solutions in complex enterprise environments, you will serve as a technical leader responsible for architecting the data ecosystem that powers vector search, Retrieval-Augmented Generation (RAG), large language model (LLM) applications, and emerging Agentic AI capabilities. You will work across infrastructure, cybersecurity, software engineering, and mission stakeholders to rapidly deliver scalable, secure, and reliable AI solutions. This role requires a seasoned engineer capable of communicating complex technical concepts and architectural tradeoffs to senior leaders, helping leadership teams understand the operational, mission, security, and business implications of emerging AI technologies while driving successful implementation of enterprise capabilities.
KEY RESPONSIBILITIES
- Enterprise AI Platform Engineering: Architect, build, and maintain enterprise-scale data platforms supporting vector databases, semantic search, Retrieval-Augmented Generation (RAG), Agentic AI systems, and large language model applications.
- Data Architecture & Strategy: Establish and implement controls for data quality, lineage, source attribution, prompt and context traceability, explainability, and evaluation of AI system outputs.
- AI Data Governance: Establish and implement controls for data quality, lineage, source attribution, prompt and context traceability, explainability, and evaluation of AI system outputs.
- Technical Leadership: Lead architectural decision-making for AI-supporting data infrastructure, balancing performance, scalability, security, reliability, maintainability, and cost considerations.
- Cross-Functional Integration: Partner with Data Scientists, Machine Learning Engineers, Architects, Cybersecurity teams, and Software Engineers to translate AI requirements into production-grade capabilities.
- Executive Communication: Translate highly technical AI, machine learning, and data architecture concepts into clear operational impacts, risks, opportunities, and implementation considerations for senior leadership.
- Enterprise Coordination: Coordinate with stakeholders across multiple organizations to align AI initiatives, maximize reuse of enterprise capabilities, and eliminate duplication of effort.
- Operational Excellence: Implement monitoring, observability, and alerting to ensure the reliability, performance, and continuous improvement of AI-supporting data platforms.
- Mentorship & Engineering Excellence: Provide technical leadership and mentorship to engineers while promoting engineering best practices and innovation across the organization.
- Technology Evaluation: Assess emerging AI technologies, vector database platforms, retrieval frameworks, and engineering approaches to improve organizational AI capabilities.
Experience and Qualifications:
To be eligible for this demanding position, the ideal candidate should demonstrate the following experience and qualifications:
Required Education and Years of Experience:
- 20 Years of experience in AI/ML, Data, or Software Engineering roles or a highly related field of work with similar scope and responsibilities.
- A Bachelor’s degree may be substituted for 4 years of experience and a Master’s Degree may be substituted for 6 years of experience.
Required Qualifications:
- Active TS/SCI with CI Polygraph
- Expert proficiency in Python, SQL, and modern software engineering practices.
- Deep experience with Azure, AWS, or Google Cloud data and AI platforms.
- Strong understanding of distributed systems, cloud-native architectures, MLOps, and AI platform engineering.
- Experience implementing vector databases, embedding pipelines, retrieval systems, and Retrieval-Augmented Generation architectures.
- Experience with CI/CD pipelines, orchestration platforms, infrastructure automation, and observability tooling.
Desired Qualifications:
- Proven experience designing and delivering enterprise-scale AI, machine learning, generative AI, or Agentic AI solutions.
- Demonstrated success architecting and implementing production cloud-native data systems supporting advanced analytics and AI workloads.
- Proven experience working within complex enterprise environments managing security, infrastructure, technology dependencies, governance requirements, and competing priorities.
- Extensive experience designing data pipelines supporting machine learning models, vector databases, semantic search capabilities, and generative AI applications.
- Proven experience delivering complex technical solutions from strategic requirements through operational deployment while balancing schedule, performance, capability, and cost objectives.
- Experience building and operating enterprise-scale vector search, RAG, knowledge management, and LLM-based platforms.
- Experience supporting AI adoption efforts within large government, defense, intelligence, or highly regulated organizations.
Telework/Remote Availability: Hybrid work authorized (minimum 2-3 days onsite)
Work Location(s): Washington, DC or Reston, VA
Contingent Upon Program Award
The position is contingent upon program award.
Summary Pay Range:
Please note that the information shown below is a general guideline only. Pay is based upon candidate experience and qualifications, as well as market and business considerations.
$242,000 - $305,000
What Makes BI&A Different:
As a fully owned subsidiary of The Boeing Company, BI&A offers an optimal mix of a small company environment with exceptional opportunities supported by a large corporation.
Every day, Boeing Intelligence & Analytics supports global missions by building and delivering intelligence, analytics, and cyber solutions that enable users to advance national security. From hardware and software engineering solutions to analytics that keep this nation safe, we create value that meets users’ needs. With vibrant partnerships and innovative approaches, we serve the Intelligence Community through innovation and vision. We have provided our customers with the tools needed to counter evolve global and cyber threats, and to improve wartime decision-making.
- Our talented employees bring software development, systems engineering, and advanced analytics expertise.
- We offer numerous prime contract opportunities with customers headquartered in Maryland, Virginia, and the District of Columbia, as well as subcontract opportunities that align with our areas of focus and additional opportunities nationwide through our parent company.
- We have current open positions on awarded programs across diverse customer sets and are anticipating upcoming contract awards with a 5-year life cycle and an additional 5 option years.
- Our diverse portfolio allows our employees to move to other projects and teams as they gain further proficiency in their current skill set and learn new skill sets along the way.
- We offer hands-on access to cutting-edge technologies and a culture of technical excellence.
Application Privacy Policy: This notice pertains to the collection and processing of personal information of applicants to The Boeing Company and its group of companies (“Boeing”), worldwide.
To review Boeing’s Privacy Policy, copy and paste this link into a new tab and following the URL:
https://www.boeing.com/careers/privacy-statement
BI&A is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race,color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
Equal Employment Opportunity is the Law (PDF)
Equal Opportunity Employer:
We are an equal opportunity employer. We do not accept unlawful discrimination in our recruitment or employment practices on any grounds including but not limited to; race, color, ethnicity, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military and veteran status, or other characteristics covered by applicable law.
We have teams in more than 65 countries, and each person plays a role in helping us become one of the world’s most innovative, diverse and inclusive companies. We are proud members of the Valuable 500 and welcome applications from candidates with disabilities. Applicants are encouraged to share with our recruitment team any accommodations required during the recruitment process. Accommodations may include but are not limited to: conducting interviews in accessible locations that accommodate mobility needs, encouraging candidates to bring and use any existing assistive technology such as screen readers and offering flexible interview formats such as virtual or phone interviews.
Your Benefits
No matter where you are in life, our benefits help prepare you for the present and the future.
- Generous company match to your 401(k).
- Industry-leading tuition assistance program pays your institution directly.
- Fertility, adoption, and surrogacy benefits.
- Up to $10,000 gift match when you support your favorite nonprofit organizations.
These programs are subject to eligibility requirements and other conditions, which may differ for employees of certain subsidiaries or business units, or union-represented employees depending on bargaining agreement terms. If this information conflicts with the program documents, the latter shall control. This material is informational only.
See All 66 Data Engineer Jobs in District of Columbia
Find roles in District of Columbia that match your experience and apply in just a few clicks.
Find Data Engineer JobsData Engineer Jobs by City in District of Columbia
Where District of Columbia roles are concentrated, by current openings.
Data Engineer Job Market in District of Columbia
A snapshot from current District of Columbia openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Aerospace & Defense
- Technology & Software
- Consulting & Professional Services
What District of Columbia Employers Look For
The qualifications that appear most often in data engineer jobs across District of Columbia.
- Bachelor's degree in computer science, information systems, or a closely related field
- Proficiency in SQL, Python, or Scala for data pipeline development and transformation
- Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud
- Familiarity with big data tools including Spark, Kafka, Airflow, or dbt
- Experience designing and maintaining data warehouses or lakehouse architectures
- Active or obtainable federal security clearance preferred for many DC-area roles
Data Engineer Jobs in District of Columbia: Frequently Asked Questions
How do you become a data engineer in District of Columbia?
There is no state-issued license required to work as a data engineer in the District of Columbia. Employers typically hire candidates who hold a bachelor's degree in computer science, engineering, or a related technical field, combined with demonstrated experience building data pipelines and working with cloud infrastructure. Earning vendor certifications from AWS, Google Cloud, or Microsoft Azure is a strong differentiator in the DC market, and many federal contractors require candidates to be eligible for a security clearance before extending offers.
Which companies hire data engineers in District of Columbia?
Employers hiring data engineers in District of Columbia right now include Koniag Government Services, Esri, and Deloitte, based on current listings on Migrate Mate as of September 2026. The DC market skews heavily toward federal contractors and government agencies, so many of the most active employers hold long-term government contracts that create sustained demand for data engineering talent across multiple programs.
Which District of Columbia cities have the most data engineer jobs?
The largest concentration of data engineer openings in District of Columbia is in Washington, reflecting the region's dense cluster of federal agencies, defense contractors, and technology-focused consulting firms that anchor hiring in Washington DC proper while suburban offices in Northern Virginia and Maryland add a significant share of additional roles.
Are there remote data engineer jobs in District of Columbia?
Yes, and more than most fields. About 65% of data engineer openings tied to District of Columbia are remote or hybrid as of September 2026, which is consistent with the analytical and desk-based nature of the work. That said, roles tied to classified federal projects or sensitive government data environments frequently require candidates to work on-site at a cleared facility, so remote availability depends heavily on the agency or contract involved.
How can I get hired as a data engineer in District of Columbia with little or no experience?
The most realistic entry path is through a junior data analyst or business intelligence developer role, which several large DC-area federal contractors use as a feeder position into full data engineering work. Organizations like Booz Allen Hamilton and SAIC run structured early-career programs that place recent graduates on data-intensive government contracts with mentorship built in. Building a portfolio of end-to-end pipeline projects using public federal datasets, and earning an entry-level cloud certification, gives candidates a concrete edge when competing for those associate-level openings.
Where can I find and apply to data engineer jobs in District of Columbia?
You can find and apply to data engineer jobs in District of Columbia on Migrate Mate, which lists current openings from employers actively hiring in the region. Search the available roles, identify the ones that match your experience and specialization, and apply directly to the ones that fit your background.
See All 66 Data Engineer Jobs in District of Columbia
Find roles in District of Columbia that match your experience and apply in just a few clicks.
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