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Data Analytics Engineer Jobs in Virginia (NOW HIRING)

Highspring

Senior Consultant - Data & Analytics

Mclean, VA · On-site

$86K - $109K/yr

The Team - Data & Analytics Our Data & Analytics practice is comprised of functional and technical experts across data strategy, data engineering, analytics, and transformation. We help clients ...

Parsons

Data Analytics Architect

Alexandria, VA · On-site +1

This position collaborates with engineers, operators, analysts, and cybersecurity teams to ensure data solutions align with mission needs, technical constraints, and security requirements. Specific ...

Palnar

Data Analytics

Reston, VA · On-site

... engineering, business administration, or other related discipline. Masters degree in a related ... Data Analyst teams to develop and implement the Ab Initio solution - Develop generic solutions ...

MANTECH

Associate BI Analytics Engineer

Herndon, VA · On-site

This role supports the build and maintenance of the data foundation that drives strategic decision ... engineers and stakeholders to deliver high-quality analytical solutions while growing your skills ...

Ag

Data Analytics Specialist

Dulles, VA · On-site +1

Bachelors degree in Engineering, Computer Science, Data Science or related field * 10% Domestic and ... and analytics adoption * Fluent in English, both spoken and written * Robust coding abilities ...

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Showing results 21-40

All JobsData Analytics Engineer JobsData Analytics Engineer Jobs in Virginia

Data Analytics Engineer information

See Virginia salary details

$44.1K

$128.6K

$176K

How much do data analytics engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for data analytics engineer in Virginia is $128,604.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $136,300.00 per year, depending on experience, location, and employer.

How do data analytics engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

What are the key skills and qualifications needed to thrive as a data analytics engineer, and why are they important?

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

What is the difference between Data Analytics Engineer vs Data Scientist?

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to develop insights and reports.

What are the most commonly searched types of Data Analytics Engineer jobs in Virginia?

The most popular types of Data Analytics Engineer jobs in Virginia are:

What are popular job titles related to Data Analytics Engineer jobs in Virginia?

For Data Analytics Engineer jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Data Analytics Engineer jobs in Virginia look for?

The top searched job categories for Data Analytics Engineer jobs in Virginia are:

What cities in Virginia are hiring for Data Analytics Engineer jobs?

Cities in Virginia with the most Data Analytics Engineer job openings:

Data Analytics Engineer jobs near you
Infographic showing various Data Analytics Engineer job openings in Virginia as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 100% In-person job distribution, with an average salary of $128,604 per year, or $61.8 per hour.

Lead AI & Data Analytics Engineer - Must be government clearance eligible

NavAide

Arlington, VA • On-site, Remote

$130K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted yesterday

Job description

About Navaide
Navaide partners with federal clients to deliver mission-focused solutions across financial management, ERP, and digital transformation. We bring deep domain expertise, practical execution, and a people-first culture to complex government environments.
Catalysts for a Stronger Tomorrow
At Navaide, we exist to empower organizations to evolve and adapt in a rapidly changing world. By combining human ingenuity with transformative technology, we develop innovative solutions that drive progress for the people and systems that strengthen our nation. Our mission is rooted in agility, scalability, and a commitment to exceeding expectations, ensuring impactful results for our clients and communities.
How You Will Make an Impact:
We are seeking a proactive Lead AI & Data Analytics Engineer to support a federal acquisition process modernization effort. This individual will serve as the technical and functional lead for building AI-enabled analytics products using Palantir Foundry, Microsoft Power Platform, Advana, Jupiter, and Databricks.
This is not a traditional dashboard developer role. The successful candidate must be a self-starter who can engage directly with business stakeholders, understand acquisition and contract writing processes, identify high-value use cases, connect data across platforms, and deliver decision-support capabilities with limited oversight.
The ideal candidate will help the client move from static reporting to integrated, AI-enabled analytics that generate actionable insights, identify risk, improve visibility, and support better acquisition decision-making.
Key Responsibilities:
  • Lead the design, development, and delivery of AI-enabled analytics products supporting acquisition and contract writing operations.
  • Build and maintain data products, dashboards, workflows, and analytical applications using Palantir Foundry and Microsoft Power Platform.
  • Work within Advana and Jupiter environments to access, analyze, and connect relevant data sources to Palantir Foundry and Power Platform solutions.
  • Develop data pipelines, reusable data models, and analytics layers using Databricks, SQL, Python, PySpark, or similar tools.
  • Build and maintain ETL/ELT pipelines in Foundry's Pipeline Builder and Code Repositories - from raw ingest through staging to curated, production-ready datasets
  • Design end-to-end big data architectures across cloud implementations of Foundry, including data lakes, pipelines, warehouses, and analytics platforms; apply Foundry's open architecture principles to ensure interoperability with existing IT systems and meet organizational and compliance requirements
  • Integrate AI, machine learning, natural language processing, generative AI, or automated insight-generation capabilities into analytics products and workflows.
  • Identify, prioritize, and drive analytics and AI use cases from concept through delivery.
  • Partner with acquisition, contracting, program, and technical stakeholders to understand business problems and translate them into data and AI solutions.
  • Develop AI-enabled capabilities such as natural language querying, automated leadership summaries, risk indicators, anomaly detection, trend analysis, workload forecasting, and decision-support recommendations.
  • Build dashboards and reports that provide insight into contract writing activity, workload, procurement status, cycle times, data quality, system adoption, bottlenecks, and operational risk.
  • Support data integration across contract writing, procurement, financial, program, and operational data sources.
  • Validate AI-generated outputs against source data, business rules, and subject matter expert feedback.
  • Establish standards for data quality, governance, documentation, and responsible AI use.
  • Provide technical direction to junior or support-level data analytics staff.
  • Present findings, prototypes, dashboards, and recommendations to both technical and non-technical stakeholders.

Required Qualifications:
  • 5+ years of experience in data analytics, data engineering, platform engineering, business intelligence, AI/ML, or analytics product development.
  • Experience building analytics products in Palantir Foundry.
  • Experience working with Advana, Jupiter, or similar federal/DoD data environments.
  • Strong experience with SQL, Python, TypeScript/JavaScript.
  • Hands-on expertise with one or more modern data engineering, analytics, or data platform technologies (e.g. Databricks, Spark, Kafka, Hadoop, Snowflake, Azure Data Factory, AWS Glue, Apache NiFi, Delta Lake).
  • Experience integrating and transforming data from multiple sources and translating business requirements into data products, dashboards, AI use cases, and technical solutions.
  • Experience applying AI, machine learning, NLP, generative AI, semantic search, or natural language querying to business or operational data.
  • Strong understanding of data governance, data quality, access control, and responsible AI practices.
  • Demonstrated ability to lead use cases, manage ambiguity, and deliver results with limited oversight.
  • Strong client-facing communication skills and stakeholder engagement skills.
  • Eligible to obtain a U.S. Government clearance
  • Experience with Microsoft Power Platform, including Power BI; Power Apps and Power Automate.
  • Bachelor's degree in Computer Science, Software Engineering, Data Engineering, Information Systems, Mathematics, Physics, or a related technical field, or equivalent experience.

Preferred Qualifications
Travel
Up to 10% travel, depending on environment cutovers, stakeholder design sessions, and validation/test events.
Education
What We Offer
Navaide is committed to fostering a supportive, inclusive, and forward-thinking workplace where our team members can thrive. Our benefits are designed to support your well-being, professional growth, and ability to work at a sustainable pace.
  • Competitive compensation: $130,000 - 150,000 / year (commensurate with experience)
  • Comprehensive benefits, including medical, dental, and vision coverage
  • Flexible time off
  • Professional development opportunities
  • Company perks such as flex spending, wellness initiatives, etc.
  • 401(K) matching

About Our Culture
Navaide honors integrity, curiosity, diligence, and collaboration in everything we do. We believe in building strong relationships with our clients, communities, and teammates, united by a shared purpose of creating a stronger tomorrow. Navaide is proud to be an Equal Employment Opportunity employer.
Ready to Make a Difference?
For more about us, please check out the following links:
  • About Navaide
  • Other Opportunities
  • Employee Benefits
  • Connect with us on LinkedIn!

Equal Opportunity Employer: Navaide is an EEO Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
  • E-Verify Participation:
  • E-Verify Participation Poster
  • IER Right to Work Poster

No third parties, please.
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About NavAide

Sourced by ZipRecruiter

Industry

Business management consulting

Company size

51 - 200 Employees

Headquarters location

San Diego, CA, US

Year founded

2016

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