Data Analytics Engineer Jobs in Virginia
Data Analytics Engineer jobs in Virginia are in strong demand, concentrated in government contracting, defense technology, financial services, and cloud computing, with openings at every level from entry-level analyst through senior principal engineer. The busiest hiring metros are Northern Virginia, Richmond, and Reston, where established employers such as Booz Allen Hamilton, Leidos, and Capital One maintain large data and analytics teams. The most sought-after specialties in Virginia right now are cloud data pipeline development, real-time analytics architecture, and business intelligence platform engineering. Find a role that fits below and apply directly.
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Showing 4 of 118+ Data Analytics Engineer jobs
Basis of Estimate (BOE)
Data Analytics
Data Metrics
Data Tools
Data Visualization
REQ#: RQ231110
Public Trust: None
Requisition Type: Regular
Your Impact
Own your opportunity to be at the center of GDIT’s business operations. Make an impact by collaborating across functions to make mission success achievable.
Job Description
GDIT is seeking a Solutions Architect Sr Principal, an AI Data Analysis and Metrics Lead, to join our Strategic Estimation team. The Strategic Estimation Team includes our expert Estimators and our Estimation Practice, where we support Solution Architects and use AI tools and data from analogous programs and industry benchmark tools (like SEER) to support creation of Estimates and Basis of Estimates (BOE) for our highest priority and cutting-edge technical opportunities.
You will be responsible for GDIT Metrics: data gathering, data analysis, data visualization, with a focus on the use of AI (Artificial Intelligence) and automation to support these efforts. You will also be responsible for BOE (Basis of Estimates) and technology estimation. You will work closely with our AI COE (Center of Excellence), our Luna AI team, and other technology SME’s, in execution of your data, metrics, and technology estimation mission and as a part of OCTO, Office of the Chief Technology Officer of GDIT. With a career in AI Data Analysis, Visualization, Metrics, and technology cost modeling / estimation, you’ll make GDIT data metrics and technology estimation your priority and we’ll make your career growth ours.
HOW YOU WILL MAKE AN IMPACT:
- Lead GDIT Metrics gathering and hands-on Data Requirements, Data Gathering, Data Analysis and Data Visualization efforts, including extensive, daily use of AI and automation.
- Provide Basis of Estimate (BOE) and technology estimation expertise including supporting proposal teams with estimation, metrics and AI models.
- Execute Data Analysis and provide data-backed recommendations to inform strategic decision-making and optimize business processes. Measure and track the impact of data-driven initiatives with key performance indicators, building data visualizations and dashboards.
- Drive Creation of automated scripting tools (directly and in collaboration with our technology SMEs) and use these automated scripting tools and workflows to increase speed of data metrics collection; lead our efforts to refine data metrics collection and agentic AI tool use.
- Partner with our estimators, solution architects and growth teams from across GDIT divisions, and other business stakeholders to understand their data metric needs and work to translate them into data-driven solutions, centered in AI and Machine Learning. Provide technology estimation expertise.
- Collaborate with Program, Capture and Solution teams to identify, benchmark and collect relevant estimating metrics in standardized formats, to include automation. Review and analyze collected data metrics, prepare recommendations, reports and visualizations
- Work with our Estimators and data analysis experts to cleanse, prepare and analyze large datasets to identify patterns, trends and anomalies. Utilize statistical techniques and data mining algorithms to extract actionable insights. Develop compelling data visualizations to communicate findings to technical and non-technical audiences.
- Models: Oversee build and deploy predictive models using machine learning techniques (e.g. regression, classification, clustering) and AI modeling. Evaluate model performance, iterate improvements, and ensure model reliability. Collaborate with other engineers and experts to integrate models into production systems.
- Support the entire estimating team and estimating practice at GDIT by providing data models, parametric models and analogous metric program data using technology estimation expertise combined with data analysis, automation and AI tools. Train and use SEER-IT or similar industry benchmark models to provide metric data.
- Create and execute a communications plan and schedule for involving key stakeholders across divisions at critical points with pilots, trainings, demos and more.
- Partner with our L&D team to develop and deliver training on use of data metrics and automated estimation tools, including live sessions and prerecorded trainings. Research industry trends in data metrics analysis and tools and collaborate with others to implement approved recommendations
- Schedule, facilitate and lead meetings that drive Data Metrics Collection and AI Estimation Tool progress. Maintain and upgrade the Metrics Repository. Create and maintain a Metrics Collection schedule, Metrics AI tool schedule, artifacts and SharePoint pages on our Metrics Repository and information.
- Special projects as assigned.
WHAT YOU’LL NEED TO SUCCEED:
- Bachelor's degree in STEM-related field (IT, Data Analytics, Computer Science, Engineering, etc.) required
- 10+ Years of related experience in IT Technology, Solutioning and Delivering Enterprise IT Technology to federal customers – large complex Enterprise IT Solutions (AI, data, data centers, cloud, networks, etc.). This support includes multiple customers and federal agencies, breadth of background and experience.
- 5+ Years Experience Solutioning Enterprise IT Technology to federal customers – large complex Enterprise IT Solutions (AI, data, data centers, cloud, networks, etc.) on deals $100M+.
- 3+ Years Experience with technology estimation and creation of BOEs (Basis of Estimates) and related Staffing Rationale for large Enterprise opportunities and recompete programs.
- Experience with Data Gathering, Data Analysis, Data Visualization, and AI and Data tools, including agentic AI workflows. Passion for a data-driven culture, including Data Analysis and using data to drive business value and strategy.
- Depth of experience with MS Excel and M365 and with migrating/translating data into useful formats for analysis, use and reporting
- Experience with SharePoint, Visualization tools (like Tableau or Minerva) and with using AI / Scripting tools (Python, R, PowerShell, ChatGPT, etc.)
- Good leadership, mentorship and soft skills are a must; ability to work collaboratively with others at all levels, contribute to a positive team and company culture, creatively problem solve and thrive on tackling process and IT challenges with AI and fresh perspective.
- Strong Oral and written communication, critical thinking, and creative problem-solving abilities
- Ability to write clearly and precisely and with meticulous attention to detail, and to communicate at all levels within a company.
- Technical certifications related to IT technologies required; ITIL or PMP certification beneficial.
- U.S. Citizen required
- Ability to obtain and maintain a Secret Clearance
At GDIT, the mission is our purpose, and our people are at the center of everything we do.
- Growth: AI-powered career tool that identifies career steps and learning opportunities
- Support: An internal mobility team focused on helping you achieve your career goals
- Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off
- Community: Award-winning culture of innovation and a military-friendly workplace
OWN YOUR OPPORTUNITY
Explore a career in cyber at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your focus on defending and protecting what matters.
Work Requirements
10 + years of related experience
- may vary based on technical training, certification(s), or degree
10-25%
U.S. Citizenship Required
Salary and Benefit Information
The likely salary range for this position is $164,382 - $201,250. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.
Our Identity Verification Process
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.
About Our Work
We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.
Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans
Basis of Estimate (BOE)
Data Analytics
Data Metrics
Data Tools
Data Visualization
REQ#: RQ231110
Public Trust: None
Requisition Type: Regular
Your Impact
Own your opportunity to be at the center of GDIT’s business operations. Make an impact by collaborating across functions to make mission success achievable.
Job Description
GDIT is seeking a Solutions Architect Sr Principal, an AI Data Analysis and Metrics Lead, to join our Strategic Estimation team. The Strategic Estimation Team includes our expert Estimators and our Estimation Practice, where we support Solution Architects and use AI tools and data from analogous programs and industry benchmark tools (like SEER) to support creation of Estimates and Basis of Estimates (BOE) for our highest priority and cutting-edge technical opportunities.
You will be responsible for GDIT Metrics: data gathering, data analysis, data visualization, with a focus on the use of AI (Artificial Intelligence) and automation to support these efforts. You will also be responsible for BOE (Basis of Estimates) and technology estimation. You will work closely with our AI COE (Center of Excellence), our Luna AI team, and other technology SME’s, in execution of your data, metrics, and technology estimation mission and as a part of OCTO, Office of the Chief Technology Officer of GDIT. With a career in AI Data Analysis, Visualization, Metrics, and technology cost modeling / estimation, you’ll make GDIT data metrics and technology estimation your priority and we’ll make your career growth ours.
HOW YOU WILL MAKE AN IMPACT:
- Lead GDIT Metrics gathering and hands-on Data Requirements, Data Gathering, Data Analysis and Data Visualization efforts, including extensive, daily use of AI and automation.
- Provide Basis of Estimate (BOE) and technology estimation expertise including supporting proposal teams with estimation, metrics and AI models.
- Execute Data Analysis and provide data-backed recommendations to inform strategic decision-making and optimize business processes. Measure and track the impact of data-driven initiatives with key performance indicators, building data visualizations and dashboards.
- Drive Creation of automated scripting tools (directly and in collaboration with our technology SMEs) and use these automated scripting tools and workflows to increase speed of data metrics collection; lead our efforts to refine data metrics collection and agentic AI tool use.
- Partner with our estimators, solution architects and growth teams from across GDIT divisions, and other business stakeholders to understand their data metric needs and work to translate them into data-driven solutions, centered in AI and Machine Learning. Provide technology estimation expertise.
- Collaborate with Program, Capture and Solution teams to identify, benchmark and collect relevant estimating metrics in standardized formats, to include automation. Review and analyze collected data metrics, prepare recommendations, reports and visualizations
- Work with our Estimators and data analysis experts to cleanse, prepare and analyze large datasets to identify patterns, trends and anomalies. Utilize statistical techniques and data mining algorithms to extract actionable insights. Develop compelling data visualizations to communicate findings to technical and non-technical audiences.
- Models: Oversee build and deploy predictive models using machine learning techniques (e.g. regression, classification, clustering) and AI modeling. Evaluate model performance, iterate improvements, and ensure model reliability. Collaborate with other engineers and experts to integrate models into production systems.
- Support the entire estimating team and estimating practice at GDIT by providing data models, parametric models and analogous metric program data using technology estimation expertise combined with data analysis, automation and AI tools. Train and use SEER-IT or similar industry benchmark models to provide metric data.
- Create and execute a communications plan and schedule for involving key stakeholders across divisions at critical points with pilots, trainings, demos and more.
- Partner with our L&D team to develop and deliver training on use of data metrics and automated estimation tools, including live sessions and prerecorded trainings. Research industry trends in data metrics analysis and tools and collaborate with others to implement approved recommendations
- Schedule, facilitate and lead meetings that drive Data Metrics Collection and AI Estimation Tool progress. Maintain and upgrade the Metrics Repository. Create and maintain a Metrics Collection schedule, Metrics AI tool schedule, artifacts and SharePoint pages on our Metrics Repository and information.
- Special projects as assigned.
WHAT YOU’LL NEED TO SUCCEED:
- Bachelor's degree in STEM-related field (IT, Data Analytics, Computer Science, Engineering, etc.) required
- 10+ Years of related experience in IT Technology, Solutioning and Delivering Enterprise IT Technology to federal customers – large complex Enterprise IT Solutions (AI, data, data centers, cloud, networks, etc.). This support includes multiple customers and federal agencies, breadth of background and experience.
- 5+ Years Experience Solutioning Enterprise IT Technology to federal customers – large complex Enterprise IT Solutions (AI, data, data centers, cloud, networks, etc.) on deals $100M+.
- 3+ Years Experience with technology estimation and creation of BOEs (Basis of Estimates) and related Staffing Rationale for large Enterprise opportunities and recompete programs.
- Experience with Data Gathering, Data Analysis, Data Visualization, and AI and Data tools, including agentic AI workflows. Passion for a data-driven culture, including Data Analysis and using data to drive business value and strategy.
- Depth of experience with MS Excel and M365 and with migrating/translating data into useful formats for analysis, use and reporting
- Experience with SharePoint, Visualization tools (like Tableau or Minerva) and with using AI / Scripting tools (Python, R, PowerShell, ChatGPT, etc.)
- Good leadership, mentorship and soft skills are a must; ability to work collaboratively with others at all levels, contribute to a positive team and company culture, creatively problem solve and thrive on tackling process and IT challenges with AI and fresh perspective.
- Strong Oral and written communication, critical thinking, and creative problem-solving abilities
- Ability to write clearly and precisely and with meticulous attention to detail, and to communicate at all levels within a company.
- Technical certifications related to IT technologies required; ITIL or PMP certification beneficial.
- U.S. Citizen required
- Ability to obtain and maintain a Secret Clearance
At GDIT, the mission is our purpose, and our people are at the center of everything we do.
- Growth: AI-powered career tool that identifies career steps and learning opportunities
- Support: An internal mobility team focused on helping you achieve your career goals
- Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off
- Community: Award-winning culture of innovation and a military-friendly workplace
OWN YOUR OPPORTUNITY
Explore a career in cyber at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your focus on defending and protecting what matters.
Work Requirements
10 + years of related experience
- may vary based on technical training, certification(s), or degree
10-25%
U.S. Citizenship Required
Salary and Benefit Information
The likely salary range for this position is $164,382 - $201,250. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.
Our Identity Verification Process
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.
About Our Work
We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.
Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans
See All 118+ Data Analytics Engineer Jobs in Virginia
Find roles in Virginia that match your experience and apply in just a few clicks.
Find Data Analytics Engineer JobsData Analytics Engineer Jobs by City in Virginia
Where Virginia roles are concentrated, by current openings.
Data Analytics Engineer Job Market in Virginia
A snapshot from current Virginia openings, updated as new roles post.
Who's Hiring
- Capital One24
- Information Technology Senior Management Forum14
- Deloitte7
- TRAX International7
- PNC Financial Services3
Top Industries Hiring
- Banking & Financial Services
- Consulting & Professional Services
- Accounting & Auditing
- Technology & Software
- Investment & Asset Management
What Virginia Employers Look For
The qualifications that appear most often in data analytics engineer jobs across Virginia.
- Bachelor's degree in computer science, data engineering, statistics, or a closely related field
- Proficiency in SQL and at least one scripting language such as Python or Scala
- Experience building and maintaining data pipelines using tools like Apache Spark or dbt
- Hands-on work with cloud platforms such as AWS, Azure, or Google Cloud
- Familiarity with data warehousing solutions including Snowflake, Redshift, or BigQuery
- Strong collaboration skills to work across data science, analytics, and engineering teams
Data Analytics Engineer Jobs in Virginia: Frequently Asked Questions
How do you become a data analytics engineer in Virginia?
Data analytics engineering has no state-issued license in Virginia, so the path runs through education and demonstrated technical skills. Most Virginia employers expect a bachelor's degree in computer science, data science, statistics, or engineering, though some accept a related quantitative field. Building a portfolio of data pipeline or BI projects, earning cloud certifications from AWS or Google, and targeting Virginia's large government contracting or financial services firms gives candidates a clear competitive edge.
How much do data analytics engineers make in Virginia?
Data analytics engineers in Virginia earn a median of about $126,430 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $76,420 for the lowest 10% to over $207,890 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data analytics engineers in Virginia?
Employers hiring data analytics engineers in Virginia right now include Capital One, Information Technology Senior Management Forum, and Deloitte, based on current listings on Migrate Mate as of November 2026. Virginia's concentration of defense contractors, federal agency partners, and regional bank headquarters means demand for data analytics engineers stays active well beyond the largest brand names.
Which Virginia cities have the most data analytics engineer jobs?
McLean, Arlington, and Richmond have the most data analytics engineer openings in Virginia. Northern Virginia leads because of its dense cluster of federal agencies, defense contractors, and technology firms, while Richmond draws from the financial services and insurance sectors, and smaller suburban corridors like Reston and Tysons Corner host major technology campuses that consistently post data engineering roles.
Are there remote data analytics engineer jobs in Virginia?
Yes, and more than most fields, since data analytics engineering is desk-based work that translates well to distributed teams. About 61% of data analytics engineer openings tied to Virginia are remote or hybrid as of November 2026, reflecting how broadly this work can be done off-site. Pipeline development, SQL modeling, and BI dashboard work are the sub-functions most commonly offered with full remote flexibility.
How can I get hired as a data analytics engineer in Virginia with little or no experience?
The most realistic entry path is through a data analyst or junior data engineer role at a Virginia government contractor or financial services firm, then moving into full data analytics engineering once you have pipeline work on your record. Companies like Booz Allen Hamilton and Leidos run rotational analyst programs that place early-career candidates on data-intensive federal contracts. Building a public portfolio of dbt or Spark projects and earning a cloud associate certification strengthens an application significantly for Virginia employers reviewing candidates without direct experience.
Where can I find and apply to data analytics engineer jobs in Virginia?
You can find and apply to data analytics engineer jobs in Virginia on Migrate Mate, which lists current Virginia openings sourced from employers actively hiring in the state. Search the listings to find roles that match your experience and specialization, then apply directly to the ones that fit.
See All 118+ Data Analytics Engineer Jobs in Virginia
Find roles in Virginia that match your experience and apply in just a few clicks.
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