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.
Find Data Analytics Engineer JobsOverview
Showing 5 of 121+ Data Analytics Engineer jobs
This position collaborates with cross-functional partners across product, technology, and business teams to transform complex questions into actionable insights. Areas of focus include digital experience analytics, customer feedback and sentiment analysis, digital usage forecasting, customer behavior modeling, feature adoption measurement, and operational optimization.
Benefits:
- Comprehensive Medical, Dental, and Vision Insurance
- Employer-Paid Life Insurance
- Employer-Paid Short-Term and Long-Term Disability Insurance
- 401(k)
- Paid Time Off (PTO) that includes Vacation Leave, Sick Leave, and 11 Paid Holidays
- Educational Assistance
Salary: 100k-122k
**Hybrid in Vienna, VA**
**An In Person interview will be required for this role**
Click here to learn about BRMi's culture.
Click here to see BRMi’s Glassdoor reviews
- Analyze customer digital behavior using Python and SQL.
- Conduct exploratory data analysis to identify patterns in product adoption, engagement, and customer experience.
- Partner with business stakeholders and product teams to identify and solve digital experience challenges.
- Develop, automate, and maintain analytical solutions that provide actionable business insights.
- Apply analytical and statistical methods to understand customer behavior, evaluate digital experiences, identify emerging trends, and support data-driven business decisions.
- Apply text analytics, natural language processing (NLP), and AI-assisted techniques to summarize and classify customer feedback, identify sentiment and recurring themes, and surface customer friction points.
- Analyze app reviews, surveys, contact center interactions, social media, and other digital feedback sources to conduct Voice of the Customer (VoC) research.
- Translate analytical findings into clear recommendations, dashboards, presentations, and data stories for business and executive audiences.
- Perform other duties as assigned.
- Bachelor’s degree in data science, business analytics, statistics, applied mathematics, economics, or another quantitative or analytical field.
- 1–5 years of experience in data science, business intelligence, analytics, statistical analysis, or related project work.
- Proficiency in SQL for data extraction and analysis and Python for data preparation, exploratory analysis, statistical analysis, and modeling; experience with R is beneficial.
- Experience applying analytical and statistical methods such as exploratory data analysis (EDA), hypothesis testing, regression, forecasting, segmentation and clustering, experimentation, NLP, or sentiment analysis to real-world business problems.
- Experience translating analytical findings into insights, recommendations, or measurable business outcomes for technical and non-technical stakeholders.
- Experience working in notebook-based analytical environments.
- Strong curiosity and ability to quickly learn new analytical methods and technologies.
- Excellent communication and data storytelling skills.
- Master’s degree in data science, business analytics, statistics, applied mathematics, economics, or another quantitative or analytical field preferred.
- Experience analyzing customer behavior, digital products, customer feedback, or customer experience preferred.
- Experience presenting complex analyses to executive audiences and developing decision-support materials preferred.
- Knowledge of financial services or digital banking products preferred.
- Advanced SQL and Python skills preferred.
EOE/Minorities/Females/Vet/Disabled
This position collaborates with cross-functional partners across product, technology, and business teams to transform complex questions into actionable insights. Areas of focus include digital experience analytics, customer feedback and sentiment analysis, digital usage forecasting, customer behavior modeling, feature adoption measurement, and operational optimization.
Benefits:
- Comprehensive Medical, Dental, and Vision Insurance
- Employer-Paid Life Insurance
- Employer-Paid Short-Term and Long-Term Disability Insurance
- 401(k)
- Paid Time Off (PTO) that includes Vacation Leave, Sick Leave, and 11 Paid Holidays
- Educational Assistance
Salary: 100k-122k
**Hybrid in Vienna, VA**
**An In Person interview will be required for this role**
Click here to learn about BRMi's culture.
Click here to see BRMi’s Glassdoor reviews
- Analyze customer digital behavior using Python and SQL.
- Conduct exploratory data analysis to identify patterns in product adoption, engagement, and customer experience.
- Partner with business stakeholders and product teams to identify and solve digital experience challenges.
- Develop, automate, and maintain analytical solutions that provide actionable business insights.
- Apply analytical and statistical methods to understand customer behavior, evaluate digital experiences, identify emerging trends, and support data-driven business decisions.
- Apply text analytics, natural language processing (NLP), and AI-assisted techniques to summarize and classify customer feedback, identify sentiment and recurring themes, and surface customer friction points.
- Analyze app reviews, surveys, contact center interactions, social media, and other digital feedback sources to conduct Voice of the Customer (VoC) research.
- Translate analytical findings into clear recommendations, dashboards, presentations, and data stories for business and executive audiences.
- Perform other duties as assigned.
- Bachelor’s degree in data science, business analytics, statistics, applied mathematics, economics, or another quantitative or analytical field.
- 1–5 years of experience in data science, business intelligence, analytics, statistical analysis, or related project work.
- Proficiency in SQL for data extraction and analysis and Python for data preparation, exploratory analysis, statistical analysis, and modeling; experience with R is beneficial.
- Experience applying analytical and statistical methods such as exploratory data analysis (EDA), hypothesis testing, regression, forecasting, segmentation and clustering, experimentation, NLP, or sentiment analysis to real-world business problems.
- Experience translating analytical findings into insights, recommendations, or measurable business outcomes for technical and non-technical stakeholders.
- Experience working in notebook-based analytical environments.
- Strong curiosity and ability to quickly learn new analytical methods and technologies.
- Excellent communication and data storytelling skills.
- Master’s degree in data science, business analytics, statistics, applied mathematics, economics, or another quantitative or analytical field preferred.
- Experience analyzing customer behavior, digital products, customer feedback, or customer experience preferred.
- Experience presenting complex analyses to executive audiences and developing decision-support materials preferred.
- Knowledge of financial services or digital banking products preferred.
- Advanced SQL and Python skills preferred.
EOE/Minorities/Females/Vet/Disabled
See All 121+ 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 One22
- Information Technology Senior Management Forum10
- TRAX International7
- Deloitte6
- Praescient Analytics5
Top Industries Hiring
- Banking & Financial Services
- Consulting & Professional Services
- Fintech
- Technology & Software
- Accounting & Auditing
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 TRAX International, based on current listings on Migrate Mate as of September 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 63% of data analytics engineer openings tied to Virginia are remote or hybrid as of September 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 121+ 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 Jobs