Analytics Engineer Jobs in Virginia
Analytics Engineer jobs in Virginia are in strong demand, with active hiring concentrated in federal contracting, defense technology, financial services, and cloud infrastructure sectors at levels from entry to senior. Northern Virginia (the D.C. metro corridor), Richmond, and Arlington lead in volume, anchored by employers such as Leidos, Capital One, and Booz Allen Hamilton. The most sought-after specialties include data pipeline development, dbt and Snowflake platform engineering, and analytics for government and financial data ecosystems. Find a role that fits below and apply directly.
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Work you'll do
As an Analytics and Insights Engineer II on the Deloitte AI & Engineering team, you will be responsible for:
- Support healthcare claims analysis, policy research, and program evaluation activities
- Translate research and policy questions into analysis-ready definitions, including populations, cohorts, measures, methods, assumptions, and limitations
- Prepare and analyze healthcare claims, eligibility, administrative, and publicly available data
- Document analytical approaches and perform quality checks for data and analysis outputs
- Translate findings into clear, client-ready recommendations for audiences with varying levels of technical and analytical expertise
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 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.
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
- 1+ years of professional experience in healthcare analytics
- 1+ years of experience with Python and Structured Query Language (SQL)
- Ability to travel 15-20%, on average, based on the work you do and the clients and industries/sectors you serve
- 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 analyzing healthcare claims, eligibility, administrative, or publicly available data
- Experience applying Medicare, Medicaid, or commercial healthcare policy in data analysis or program evaluation
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 $88,600 to $147,600.
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 an Analytics and Insights Engineer II on the Deloitte AI & Engineering team, you will be responsible for:
- Support healthcare claims analysis, policy research, and program evaluation activities
- Translate research and policy questions into analysis-ready definitions, including populations, cohorts, measures, methods, assumptions, and limitations
- Prepare and analyze healthcare claims, eligibility, administrative, and publicly available data
- Document analytical approaches and perform quality checks for data and analysis outputs
- Translate findings into clear, client-ready recommendations for audiences with varying levels of technical and analytical expertise
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 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.
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
- 1+ years of professional experience in healthcare analytics
- 1+ years of experience with Python and Structured Query Language (SQL)
- Ability to travel 15-20%, on average, based on the work you do and the clients and industries/sectors you serve
- 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 analyzing healthcare claims, eligibility, administrative, or publicly available data
- Experience applying Medicare, Medicaid, or commercial healthcare policy in data analysis or program evaluation
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 $88,600 to $147,600.
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 33 Analytics Engineer Jobs in Virginia
Find roles in Virginia that match your experience and apply in just a few clicks.
Find Analytics Engineer JobsAnalytics Engineer Jobs by City in Virginia
Where Virginia roles are concentrated, by current openings.
Analytics Engineer Job Market in Virginia
A snapshot from current Virginia openings, updated as new roles post.
Who's Hiring
- Deloitte17
- CoStar2
- ICF1
- ARELI1
- GEICO1
What Virginia Employers Look For
The qualifications that appear most often in analytics engineer jobs across Virginia.
- Bachelor's degree in computer science, statistics, mathematics, or a closely related field
- Proficiency in SQL and at least one scripting language such as Python or R
- Hands-on experience with dbt, Snowflake, BigQuery, or Redshift data platforms
- Ability to obtain a federal security clearance for Virginia defense and government contracting roles
- Experience building and maintaining scalable data pipelines and transformation workflows
- Strong communication skills to translate data insights for non-technical business stakeholders
Analytics Engineer Jobs in Virginia: Frequently Asked Questions
How do you become an analytics engineer in Virginia?
Becoming an analytics engineer in Virginia typically starts with a bachelor's degree in computer science, statistics, information systems, or a related field. Virginia does not require a state-issued license for analytics engineers. Employers expect proficiency in SQL, Python, and modern data stack tools like dbt and Snowflake. Building a portfolio of transformation projects and earning platform certifications from providers such as Databricks or dbt Labs strengthens your candidacy across Virginia's federal contracting and financial services markets.
How much do analytics engineers make in Virginia?
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 analytics engineers in Virginia?
Employers hiring analytics engineers in Virginia right now include Deloitte, CoStar, and ICF, based on current listings on Migrate Mate as of November 2026. Virginia's concentration of federal contractors and financial services headquarters means analytics engineers here often work with large-scale government data, cloud migrations, and regulatory reporting systems.
Which Virginia cities have the most analytics engineer jobs?
Rosslyn, Arlington, and McLean account for the most analytics engineer openings in Virginia. Northern Virginia's Tysons and Arlington corridor drives the largest share, fueled by federal agencies, defense contractors, and hyperscale cloud campuses, while Richmond's financial services firms and technology companies generate consistent demand outside the D.C. metro.
Are there remote analytics engineer jobs in Virginia?
Yes, and more than most fields. About 56% of analytics engineer openings tied to Virginia are remote or hybrid as of November 2026, reflecting how portable data transformation and pipeline work is for experienced practitioners. The most remote-compatible tasks include dbt model development, data modeling reviews, and cloud warehouse optimization, while roles tied to federal contracts requiring security clearances tend to require on-site presence.
How can I get hired as an analytics engineer in Virginia with little or no experience?
The most realistic entry path is moving from a data analyst or BI developer role into analytics engineering as companies build out their modern data stacks. Large Virginia employers such as Capital One and Leidos hire junior data professionals and offer internal rotations into engineering-adjacent work. Building public dbt projects, earning a Snowflake or Databricks associate certification, and targeting analyst-to-engineer bridge roles at Virginia's federal contracting firms gives candidates without formal experience a concrete foothold.
Where can I find and apply to analytics engineer jobs in Virginia?
You can find and apply to analytics engineer jobs in Virginia on Migrate Mate, which lists current Virginia openings across industries including federal contracting, financial services, and cloud technology. Find roles that fit your experience and apply directly to employers from the listings.
See All 33 Analytics Engineer Jobs in Virginia
Find roles in Virginia that match your experience and apply in just a few clicks.
Find Analytics Engineer Jobs