Data Engineer Jobs in Virginia
Data Engineer jobs in Virginia are in high demand, with active hiring concentrated in defense and intelligence contracting, federal technology services, financial services, and cloud infrastructure, covering everything from entry-level data analysts stepping into engineering roles through senior architects and staff engineers. The strongest markets are Northern Virginia, Richmond, and the Hampton Roads corridor, where employers like Booz Allen Hamilton, Leidos, and Capital One have deep and sustained data engineering practices. The most sought-after specialties are cloud data pipeline development, real-time analytics, and data platform engineering supporting federal and commercial clients. Find a role that fits below and apply directly.
Find Data Engineer JobsOverview
Showing 5 of 366+ Data Engineer jobs
The Opportunity:
CACI is seeking a Data Engineer to support Joint Interagency Task Force 401 (JIATF 401). The Data Engineer will design, develop, and maintain data architectures, analytical pipelines, and AI-enabled solutions that transform large volumes of operational, intelligence, and mission data into actionable insights for decision-makers. This position requires expertise in aggregating, organizing, analyzing, and visualizing structured and unstructured data from multiple sources to support Counter-Unmanned Aircraft Systems (C-UAS) operations, capability development, operational assessments, acquisition decisions, and strategic planning efforts. The Data Engineer will leverage advanced analytics, automation, and artificial intelligence tools to identify relevant information, uncover trends, and deliver data products that enable informed operational and procurement decisions.
Responsibilities:
- Design, develop, and maintain scalable data pipelines that collect, integrate, process, and manage data from multiple operational, intelligence, and enterprise sources.
- Utilize Maven Smart System (MSS), Palantir, Power BI, Python, and AI-enabled analytical tools to support mission analysis, operational assessments, and decision-making.
- Aggregate, clean, normalize, and transform large datasets to ensure data quality, accessibility, and usability across the organization.
- Develop dashboards, reports, data visualizations, and common operating picture products that communicate complex information in a clear and actionable manner.
- Leverage artificial intelligence and machine learning tools to automate data processing, information extraction, pattern recognition, and predictive analytics.
- Conduct data mining, data scraping, and data exploitation activities to identify relevant information from large volumes of structured and unstructured data.
- Develop and maintain data models, databases, data dictionaries, and metadata repositories to support enterprise data management requirements.
- Collaborate with engineers, analysts, operators, and stakeholders to identify data requirements and develop analytical solutions supporting mission objectives.
- Develop performance metrics and analytical frameworks to assess operational effectiveness, capability gaps, system performance, and mission outcomes.
- Produce technical documentation, data management plans, analytical reports, and executive-level briefings to support senior military and civilian leadership.
- Ensure data integrity, security, and compliance with applicable policies, standards, and governance requirements.
- Identify opportunities to improve data architectures, automation workflows, and analytical methodologies to increase efficiency and effectiveness.
- Support operational assessments, technology evaluations, capability demonstrations, and acquisition efforts through data-driven analysis and decision support.
- Maintain awareness of emerging AI technologies, data analytics methodologies, and mission-relevant data sources to enhance organizational capabilities.
Qualifications:
Required:
- Active Top Secret/SCI Clearance.
- BA/BS with 4+ years; AA/AS with 8+ years; or HS/GED with 10+ years.
- Demonstrated experience working with large, complex datasets and enterprise-level data environments.
- Experience utilizing Maven Smart System (MSS), Palantir, or similar data integration and analytics platforms.
- Proficiency with Python for data engineering, automation, analytics, and data transformation activities.
- Experience developing interactive dashboards and data visualization products using Power BI or similar business intelligence platforms.
- Experience leveraging AI-enabled tools, machine learning applications, or advanced analytics solutions to support operational decision-making.
- Knowledge of ETL/ELT processes, data integration methodologies, database management, and data architecture principles.
- Experience collecting, organizing, scraping, cleansing, and exploiting structured and unstructured data from multiple sources.
- Strong proficiency with Microsoft Office Suite, including the ability to develop technical documentation, analytical reports, data products, and executive-level briefings.
- Ability to translate complex analytical findings into concise, actionable recommendations for senior military and civilian leadership.
- Experience developing performance metrics, analytical frameworks, and decision-support products.
- Proven ability to collaborate with cross-functional teams in dynamic operational environments.
Desired:
- Experience supporting Department of Defense, Intelligence Community, Homeland Security, or Counter-Unmanned Aircraft Systems (C-UAS) organizations.
- Familiarity with intelligence data sources, sensor data, operational data feeds, and mission command systems.
- Experience supporting CJADC2, data fusion, common operating picture development, or operational decision-support systems.
- Knowledge of cloud-based data environments, distributed computing architectures, and enterprise data governance practices.
- Experience integrating AI capabilities into operational workflows and mission support activities.
What You Can Expect:
A culture of integrity.
At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation.
An environment of trust.
CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.
A focus on continuous growth.
Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy.
Pay Range :
There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.
The proposed salary range for this position is:
$86,600 - $181,800The Opportunity:
CACI is seeking a Data Engineer to support Joint Interagency Task Force 401 (JIATF 401). The Data Engineer will design, develop, and maintain data architectures, analytical pipelines, and AI-enabled solutions that transform large volumes of operational, intelligence, and mission data into actionable insights for decision-makers. This position requires expertise in aggregating, organizing, analyzing, and visualizing structured and unstructured data from multiple sources to support Counter-Unmanned Aircraft Systems (C-UAS) operations, capability development, operational assessments, acquisition decisions, and strategic planning efforts. The Data Engineer will leverage advanced analytics, automation, and artificial intelligence tools to identify relevant information, uncover trends, and deliver data products that enable informed operational and procurement decisions.
Responsibilities:
- Design, develop, and maintain scalable data pipelines that collect, integrate, process, and manage data from multiple operational, intelligence, and enterprise sources.
- Utilize Maven Smart System (MSS), Palantir, Power BI, Python, and AI-enabled analytical tools to support mission analysis, operational assessments, and decision-making.
- Aggregate, clean, normalize, and transform large datasets to ensure data quality, accessibility, and usability across the organization.
- Develop dashboards, reports, data visualizations, and common operating picture products that communicate complex information in a clear and actionable manner.
- Leverage artificial intelligence and machine learning tools to automate data processing, information extraction, pattern recognition, and predictive analytics.
- Conduct data mining, data scraping, and data exploitation activities to identify relevant information from large volumes of structured and unstructured data.
- Develop and maintain data models, databases, data dictionaries, and metadata repositories to support enterprise data management requirements.
- Collaborate with engineers, analysts, operators, and stakeholders to identify data requirements and develop analytical solutions supporting mission objectives.
- Develop performance metrics and analytical frameworks to assess operational effectiveness, capability gaps, system performance, and mission outcomes.
- Produce technical documentation, data management plans, analytical reports, and executive-level briefings to support senior military and civilian leadership.
- Ensure data integrity, security, and compliance with applicable policies, standards, and governance requirements.
- Identify opportunities to improve data architectures, automation workflows, and analytical methodologies to increase efficiency and effectiveness.
- Support operational assessments, technology evaluations, capability demonstrations, and acquisition efforts through data-driven analysis and decision support.
- Maintain awareness of emerging AI technologies, data analytics methodologies, and mission-relevant data sources to enhance organizational capabilities.
Qualifications:
Required:
- Active Top Secret/SCI Clearance.
- BA/BS with 4+ years; AA/AS with 8+ years; or HS/GED with 10+ years.
- Demonstrated experience working with large, complex datasets and enterprise-level data environments.
- Experience utilizing Maven Smart System (MSS), Palantir, or similar data integration and analytics platforms.
- Proficiency with Python for data engineering, automation, analytics, and data transformation activities.
- Experience developing interactive dashboards and data visualization products using Power BI or similar business intelligence platforms.
- Experience leveraging AI-enabled tools, machine learning applications, or advanced analytics solutions to support operational decision-making.
- Knowledge of ETL/ELT processes, data integration methodologies, database management, and data architecture principles.
- Experience collecting, organizing, scraping, cleansing, and exploiting structured and unstructured data from multiple sources.
- Strong proficiency with Microsoft Office Suite, including the ability to develop technical documentation, analytical reports, data products, and executive-level briefings.
- Ability to translate complex analytical findings into concise, actionable recommendations for senior military and civilian leadership.
- Experience developing performance metrics, analytical frameworks, and decision-support products.
- Proven ability to collaborate with cross-functional teams in dynamic operational environments.
Desired:
- Experience supporting Department of Defense, Intelligence Community, Homeland Security, or Counter-Unmanned Aircraft Systems (C-UAS) organizations.
- Familiarity with intelligence data sources, sensor data, operational data feeds, and mission command systems.
- Experience supporting CJADC2, data fusion, common operating picture development, or operational decision-support systems.
- Knowledge of cloud-based data environments, distributed computing architectures, and enterprise data governance practices.
- Experience integrating AI capabilities into operational workflows and mission support activities.
What You Can Expect:
A culture of integrity.
At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation.
An environment of trust.
CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.
A focus on continuous growth.
Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy.
Pay Range :
There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.
The proposed salary range for this position is:
$86,600 - $181,800See All 366+ Data Engineer Jobs in Virginia
Find roles in Virginia that match your experience and apply in just a few clicks.
Find Data Engineer JobsData Engineer Jobs by City in Virginia
Where Virginia roles are concentrated, by current openings.
Data Engineer Job Market in Virginia
A snapshot from current Virginia openings, updated as new roles post.
Who's Hiring
- Amazon37
- Capital One18
- Booz Allen Hamilton17
- Deloitte14
- Accenture Federal Services9
Top Industries Hiring
- Technology & Software15
- Banking & Financial Services6
- Consulting & Professional Services6
- Retail4
- Aerospace & Defense4
What Virginia Employers Look For
The qualifications that appear most often in data engineer jobs across Virginia.
- Bachelor's degree in computer science, information systems, or a related technical field
- Proficiency in SQL and at least one scripting language such as Python or Scala
- Hands-on experience building and maintaining data pipelines using tools like Apache Spark or Kafka
- Familiarity with cloud platforms, primarily AWS, Azure, or Google Cloud, in a production environment
- Experience with data warehousing solutions such as Snowflake, Redshift, or BigQuery
- Active or obtainable security clearance, or eligibility to hold one, preferred by many Virginia federal contractors
Data Engineer Jobs in Virginia: Frequently Asked Questions
How do you become a data engineer in Virginia?
Becoming a data engineer in Virginia typically starts with a bachelor's degree in computer science, information systems, or a closely related field, followed by building hands-on experience with databases, cloud platforms, and data pipeline tools. Virginia has no state-issued license for data engineers, but candidates targeting the large federal contracting sector around Northern Virginia should pursue or maintain eligibility for a government security clearance, which many employers treat as a practical hiring requirement alongside technical certifications.
Which companies hire data engineers in Virginia?
Employers hiring data engineers in Virginia right now include Amazon, Capital One, and Booz Allen Hamilton, based on current listings on Migrate Mate as of September 2026. Virginia's concentration of federal contractors and major financial institutions means demand is broad across both government-adjacent technology roles and commercial data platform work.
Which Virginia cities have the most data engineer jobs?
Arlington, McLean, and Herndon account for the largest share of data engineer openings in Virginia. Northern Virginia dominates due to its dense cluster of federal agencies, defense contractors, and cloud infrastructure operators, while Richmond draws hiring from financial services firms and healthcare technology companies, and Hampton Roads sees consistent demand tied to Navy and defense sector technology work.
Are there remote data engineer jobs in Virginia?
Yes, and more than most fields. About 58% of data engineer openings tied to Virginia are remote or hybrid as of September 2026, reflecting how central remote collaboration is to modern data platform and pipeline work. Roles focused on cloud infrastructure, analytics engineering, and data pipeline development tend to offer the most location flexibility, while positions requiring access to classified systems or on-site federal environments remain predominantly on-site.
How can I get hired as a data engineer in Virginia with little or no experience?
The most realistic entry path is transitioning from a data analyst or business intelligence role into engineering responsibilities, which many Virginia employers in financial services and federal contracting explicitly support through internal mobility programs. Booz Allen Hamilton and Leidos both run structured early-career and new-graduate hiring programs where candidates with strong SQL foundations and cloud familiarity are placed on data teams. Building a portfolio of pipeline or transformation projects on public cloud platforms and earning an entry-level cloud certification substantially strengthens applications for these associate-level roles.
Where can I find and apply to data engineer jobs in Virginia?
You can find and apply to data engineer jobs in Virginia on Migrate Mate, which lists current Virginia openings from employers across Northern Virginia, Richmond, Hampton Roads, and beyond. Find roles that fit your experience and apply directly to the ones that match.
See All 366+ Data Engineer Jobs in Virginia
Find roles in Virginia that match your experience and apply in just a few clicks.
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