Data Engineering Manager Jobs in Virginia
Data Engineering Manager jobs in Virginia are in strong demand, concentrated in defense contracting, federal IT services, financial technology, and cloud infrastructure sectors, with openings ranging from senior individual contributors stepping into management to directors overseeing large platform teams. The heaviest hiring is in Northern Virginia, Richmond, and the Hampton Roads corridor, where employers like Booz Allen Hamilton, Capital One, and Leidos maintain deep technical workforces that depend on data engineering leadership. Pipeline architecture, cloud data platform management, and real-time analytics are the sub-specialties drawing the most consistent interest from Virginia hiring teams. Find a role that fits below and apply directly.
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Showing 5 of 75+ Data Engineering Manager jobs
Work You'll Do
As a hands-on Core Data Engineer III on the AI & Data team, you will own the human-facing surface of these agents: the interfaces where users launch agent runs, watch them think in real time, review and approve their output, and ship the results.
- Build production React (React 19 + TypeScript + Vite + Tailwind) UIs backed by a FastAPI service
- Design streaming agent experiences over Server-Sent Events (live run progress, connection status, incremental findings)
- Craft human-in-the-loop review flows - checkpoint approvals, natural-language rule authoring, ER diagrams, data-quality dashboards, masking review, and semantic-view editors
- Set the front-end standards for the pod (component architecture with TanStack Query + react-router, an accessible design system, screen-reader support, and performance under large data-profiling payloads)
- Demo working software live in front of CIOs, CMOs, and client data teams
A successful candidate would possess:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
The Team
Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.
Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.
Qualifications
Required:
- Bachelor's degree
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
- Must be able to obtain and maintain a security clearance
- 3-6 years of software engineering experience with deep React/TypeScript expertise
- 3-6 years of experience with Python and React.js
- 3+ years of experience building agent or conversational/streaming AI experiences (agent chat, token/event streaming, tool- and run-state visualization, long-running job UX)
- 3+ years of experience with REST + SSE/WebSocket integration skills
- Experience making complex, autonomous AI behavior legible, reviewable, and trustworthy
Preferred:
- Design system fluency
- Experience with GitHub Copilot
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $82,600-162,800.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Work You'll Do
As a hands-on Core Data Engineer III on the AI & Data team, you will own the human-facing surface of these agents: the interfaces where users launch agent runs, watch them think in real time, review and approve their output, and ship the results.
- Build production React (React 19 + TypeScript + Vite + Tailwind) UIs backed by a FastAPI service
- Design streaming agent experiences over Server-Sent Events (live run progress, connection status, incremental findings)
- Craft human-in-the-loop review flows - checkpoint approvals, natural-language rule authoring, ER diagrams, data-quality dashboards, masking review, and semantic-view editors
- Set the front-end standards for the pod (component architecture with TanStack Query + react-router, an accessible design system, screen-reader support, and performance under large data-profiling payloads)
- Demo working software live in front of CIOs, CMOs, and client data teams
A successful candidate would possess:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
The Team
Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.
Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.
Qualifications
Required:
- Bachelor's degree
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
- Must be able to obtain and maintain a security clearance
- 3-6 years of software engineering experience with deep React/TypeScript expertise
- 3-6 years of experience with Python and React.js
- 3+ years of experience building agent or conversational/streaming AI experiences (agent chat, token/event streaming, tool- and run-state visualization, long-running job UX)
- 3+ years of experience with REST + SSE/WebSocket integration skills
- Experience making complex, autonomous AI behavior legible, reviewable, and trustworthy
Preferred:
- Design system fluency
- Experience with GitHub Copilot
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $82,600-162,800.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
See All 75 Data Engineering Manager Jobs in Virginia
Find roles in Virginia that match your experience and apply in just a few clicks.
Find Data Engineering Manager JobsData Engineering Manager Jobs by City in Virginia
Where Virginia roles are concentrated, by current openings.
Data Engineering Manager Job Market in Virginia
A snapshot from current Virginia openings, updated as new roles post.
Who's Hiring
- Amazon39
- Amazon Web Services4
- Deloitte3
- Capital One3
- AECOM2
Top Industries Hiring
- Technology & Software
- Education
- Science & Research
What Virginia Employers Look For
The qualifications that appear most often in data engineering manager jobs across Virginia.
- Bachelor's or master's degree in computer science, data engineering, or a related technical field
- Five or more years of hands-on data engineering experience with at least two in a leadership role
- Proven experience with cloud data platforms such as AWS, Azure, or Google Cloud in enterprise environments
- Proficiency in SQL, Python, or Scala alongside orchestration tools like Apache Airflow or dbt
- Experience leading cross-functional teams and managing the full data pipeline lifecycle end to end
- Familiarity with data governance, security compliance frameworks, and federal or regulated industry standards
Data Engineering Manager Jobs in Virginia: Frequently Asked Questions
How do you become a data engineering manager in Virginia?
Becoming a data engineering manager in Virginia typically starts with a bachelor's degree in computer science, information systems, or a related field, followed by several years as a data or software engineer. Virginia's large defense and federal contracting sector means many employers also value or require a security clearance, which you apply for through a sponsoring employer. Moving into management usually comes through leading project teams, mentoring junior engineers, or taking on technical lead roles within established Virginia tech and government contracting organizations.
Which companies hire data engineering managers in Virginia?
Employers hiring data engineering managers in Virginia right now include Amazon, Amazon Web Services, and Deloitte, based on current listings on Migrate Mate as of November 2026. Virginia's concentration of defense contractors, financial services firms, and cloud-forward technology companies makes it one of the more active states for this role at the managerial level.
Which Virginia cities have the most data engineering manager jobs?
Herndon, Arlington, and Richmond account for the largest share of data engineering manager openings in Virginia. Northern Virginia leads because of its dense cluster of federal agencies, defense contractors, and the AWS headquarters presence, while Richmond draws demand from Capital One's corporate campus and a growing fintech community, and Hampton Roads activity ties closely to Navy and federal IT infrastructure projects in that region.
Are there remote data engineering manager jobs in Virginia?
Yes, and more than most fields. About 44% of data engineering manager openings tied to Virginia are remote or hybrid as of November 2026, reflecting how much of the work involves cloud platforms, code review, and distributed team coordination rather than on-site infrastructure. The most fully remote opportunities tend to cluster around platform engineering and analytics leadership roles at tech and fintech employers, while positions tied to classified federal contracts typically require on-site presence.
How can I get hired as a data engineering manager in Virginia with little or no experience?
The most realistic path is moving laterally from a senior data engineer or analytics engineer role into a team lead position at a mid-size Virginia employer before pursuing a formal manager title. Large Virginia contractors like Booz Allen Hamilton and Leidos run early-career technical programs that build the engineering foundation, and Capital One's internal mobility programs are a known route from individual contributor to lead. Building a portfolio of pipeline and platform projects, earning a cloud certification, and taking ownership of mentoring or sprint planning within your current team signals management readiness to Virginia hiring managers.
Where can I find and apply to data engineering manager jobs in Virginia?
You can find and apply to data engineering manager jobs in Virginia on Migrate Mate, which lists current openings across the state. Search the listings for roles that match your experience level, industry preference, and preferred location or remote arrangement, then apply directly to the ones that fit.
See All 75 Data Engineering Manager Jobs in Virginia
Find roles in Virginia that match your experience and apply in just a few clicks.
Find Data Engineering Manager Jobs