Data Engineer Jobs in Richmond, VA
Data Engineer jobs in Richmond are in strong demand, concentrated in the Scott's Addition tech corridor, the downtown financial district, and Short Pump's growing business parks, across finance, government services, and healthcare. Employers hiring right now include Capital One, CoStar, and Eaton. Find a role that fits below and apply directly.
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Work You'll Do
As a Security Engineer III on the mission-focused technology and security team, you will be responsible for:
- Design, implement, and maintain secure platform and data engineering solutions within the Jupiter/Advana environment
- Support the ingestion, transformation, and mapping of external data sources into Palantir Foundry or Palantir Gotham
- Use Databricks to develop data workflows, perform data transformations, and improve platform performance
- Collaborate with analysts and stakeholder teams to prepare and serve data for Tableau and Qlik dashboards
- Troubleshoot technical issues, document configurations, and support operational readiness across enterprise data environments
A successful candidate would possess these skills:
- 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 Cyber Strategy & Transformation offering develops and transforms cyber programs in line with a client's strategic objectives, regulatory requirements, and risk appetite. It keeps the enterprise a step ahead of the evolving threat landscape and gives stakeholders confidence in the organization's cyber posture. Includes design of the cyber organization, governance, and risk assessments.
The Project Delivery Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project delivery-focused professionals.
Qualifications
Required:
- Bachelor's degree in Computer Science, Cybersecurity, Information Systems, Data Engineering, or Software Engineering
- Active Secret security clearance
- Must be local to Suffolk, Virginia or willing to commute to Suffolk, Virginia to work onsite 5 days per week
- 3+ years of professional experience in security engineering, data engineering, or platform engineering
- 1+ year of experience developing data pipelines, performing data transformations, and creating ontology mappings in Palantir Foundry or Palantir Gotham
- 2+ years of experience developing workflows in Databricks/Jupiter and using PySpark, Python, and Structured Query Language (SQL)
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
Preferred:
- Experience developing or supporting Tableau or Qlik dashboards
- Experience preparing and serving data sets for business intelligence and reporting use cases
For individuals assigned and/or hired to work in Virginia, Deloitte is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to Virginia and 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. 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 $107,700 to $179,500.
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 366+ Data Engineer Jobs in Richmond
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Find Data Engineer JobsData Engineer Job Market in Richmond
Who's Hiring
- Capital One98

- CoStar73

- Eaton24

- Deloitte24

- Tiger Analytics24

Top Industries Hiring
- Banking & Financial Services
Data Engineer Jobs in Richmond: Frequently Asked Questions
How do I get a data engineer job in Richmond?
Focus on Richmond's strongest hiring sectors: financial services firms along the downtown corridor, state and federal government contractors clustered near the Capitol, and the health systems anchored in the Shockoe Bottom and Medical District areas. Candidates who can demonstrate experience with cloud data pipelines and familiarity with regulated-data environments stand out locally. Networking through RVA Tech and Richmond tech meetups also surfaces roles before they post publicly.
Which companies hire data engineers in Richmond?
Employers hiring data engineers in Richmond right now include Capital One, CoStar, and Eaton, based on current listings on Migrate Mate as of September 2026. Richmond's mix of regional banks, health systems, and government-adjacent contractors makes it a consistent market for data engineering talent across both enterprise and mid-market employers.
Are there remote data engineer jobs in Richmond?
Yes, data engineering is one of the more remote-compatible technical roles given its desk-based, pipeline-focused nature. About 75% of data engineer openings tied to Richmond are remote or hybrid as of September 2026, reflecting broader industry norms. Cloud infrastructure and ETL work tend to be the most fully remote, while roles tied to on-premise government or hospital systems typically require some on-site presence.
How can I get a data engineer job in Richmond with little or no experience?
The most realistic entry path in Richmond is landing a junior data analyst or analytics engineer role at one of the city's mid-size financial services or healthcare firms, then building toward a data engineer title from within. Virginia Commonwealth University and nearby community colleges produce graduates that local employers recognize, giving early-career candidates a credible local signal. Entry-level contractor positions supporting state agency data projects are another door worth targeting, as they often convert to longer engagements.
Which industries hire the most data engineers in Richmond?
Most data engineer openings in Richmond sit in Banking & Financial Services, per current listings on Migrate Mate as of September 2026. Richmond's role as a regional hub for banking, insurance, state government operations, and major health systems means those sectors consistently generate demand for engineers who can move and govern large volumes of structured data.
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