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Data Analytics Engineer Jobs in Virginia (NOW HIRING)

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

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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 Sep 11, 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 cities in Virginia are hiring for Data Analytics Engineer jobs?

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

Infographic showing various Data Analytics Engineer job openings in Virginia as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 80% Full Time, 14% Part Time, 3% Contract, and 1% Nights. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $128,604 per year, or $61.8 per hour.

AI & Data Analytics Developer - Must be government clearance eligible

Arlington, VA • On-site, Remote

Navaide
Business Management Consulting • 51 - 200 employees

$110K - $170K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 22 days ago


Key responsibilities

  • Support the design, development, testing, and maintenance of dashboards, reports, workflows, and data products.

  • Build Power BI dashboards and reports to support acquisition, contract writing, workload, data quality, and leadership reporting needs.

  • Support AI-enabled analytics capabilities, including automated insights, natural language querying, anomaly detection, trend analysis, and leadership summaries.


Job description

Job Title: AI & Data Analytics Developer

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 an AI & Data Analytics Developer to support a federal acquisition process modernization effort. This role will work under the direction of the Lead AI & Data Analytics Engineer to build dashboards, data models, workflows, prototypes, reports, and analytical solutions using Microsoft Power Platform, Palantir Foundry, Advana, Jupiter, and Databricks.

The successful candidate must be technically curious, detail-oriented, proactive, and able to execute quickly. This individual will help clean, transform, validate, and visualize data while supporting AI-enabled use cases that generate insights for acquisition and contract writing stakeholders.

This role is ideal for someone who can build, test, document, and improve analytics products while learning the client's business process and federal data environment.

Key Responsibilities:

  • Support the design, development, testing, and maintenance of dashboards, reports, workflows, and data products.
  • Build Power BI dashboards and reports to support acquisition, contract writing, workload, data quality, and leadership reporting needs.
  • Support Power Platform development, including Power Apps and Power Automate workflows.
  • Assist with Palantir Foundry development, including datasets, transformations, dashboards, applications, and analytical products.
  • Work within Advana and Jupiter environments to access, explore, analyze, and prepare data.
  • Use Databricks, SQL, Python, PySpark, or similar tools to clean, transform, validate, and prepare data for analytics and AI use cases.
  • Support AI-enabled analytics capabilities, including automated insights, natural language querying, anomaly detection, trend analysis, and leadership summaries.
  • Validate AI-generated insights against source data and business rules.
  • Document data sources, transformation logic, assumptions, business rules, calculations, and known data limitations.
  • Assist with data quality checks, data reconciliation, and issue identification.
  • Support user testing, dashboard validation, prototype development, and stakeholder feedback sessions.
  • Work with acquisition and contract writing subject matter experts to understand reporting needs and business context.
  • Support recurring reporting, ad hoc analysis, and executive-level data requests.
  • Collaborate with the lead engineer, business analysts, system owners, and client stakeholders to deliver timely and accurate analytics products.

Required Qualifications:

  • 3+ years of experience in data analytics, business intelligence, data engineering, AI analytics, reporting, dashboard development and workflow automation.
  • Experience with Power BI and data visualization.
  • Experience using SQL and analytical tools such as Python, Jupiter notebooks, or similar analytical tools.
  • Experience cleaning, transforming, validating, and reconciling data with ability to identify data quality issues and inconsistencies.
  • Familiarity with AI, machine learning, generative AI, prompt engineering, or automated insight generation.
  • Strong documentation skills.
  • Ability to communicate analytical findings to non-technical stakeholders.
  • Ability to work in a fast-paced environment and execute tasks with limited day-to-day oversight.
  • Eligible to obtain a U.S. Government clearance

Preferred Qualifications

  • Experience with, or willingness to quickly learn, modern analytics platforms and environment such as Palantir Foundry, Advana, Jupiter, and Databricks.
  • Experience with Microsoft Power Platform including Power BI, Power Apps, and Power Automate.
  • Experience supporting federal, defense, or national security analytics programs.
  • Bachelor's degree in Computer Science, Software Engineering, Data Engineering, Information Systems, Mathematics, Physics, or a related technical field, or equivalent experience.

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: $110,000 - 130,000 / 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.

Employment Type: FULL_TIME

NavAide logo

About NavAide

Sourced by ZipRecruiter

Industry

Business management consulting

Company size

51 - 200 Employees

Headquarters location

San Diego, CA, US

Year founded

2016