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Data Analytics Developer Jobs in Virginia (NOW HIRING)

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 ...

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 ...

Ignite Digital is seeking a MidLevel Data Analyst to support a US Navy data analytics, cloud ... Collaborate with analysts, developers, and system engineers to design and implement datacentric ...

Data Analytics Engineer - Pega CDH

Vienna, VA · On-site

$114K - $138K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Overview BRMi is seeking an experienced Data Analytics Engineer to support analytics and modeling initiatives within a Pega Customer Decision Hub (CDH) environment. This role will focus on building ...

New

Data and Analytics Engineer

Blacksburg, VA · Remote

$117K - $140K/yr

Data and Analytics Engineer Apply now Back to search results Job no: 537234 Work type: Administrative & Professional Senior management: Vice President-Info Technology Department: Enterprise Services ...

Data Analytics Engineer - Pega CDH

Vienna, VA · On-site

$114K - $138K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Overview BRMi is seeking an experienced Data Analytics Engineer to support analytics and modeling initiatives within a Pega Customer Decision Hub (CDH) environment. This role will focus on building ...

New

Showing results 41-60

Data Analytics Developer information

See Virginia salary details

$24

$54

$93

How much do data analytics developer jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for data analytics developer in Virginia is $54.28, according to ZipRecruiter salary data. Most workers in this role earn between $43.61 and $61.49 per hour, depending on experience, location, and employer.

What is the difference between Data Analytics Developer vs Data Analyst?

AspectData Analytics DeveloperData Analyst
Required SkillsSQL, programming, data modeling, visualization toolsExcel, SQL, basic statistics, visualization
CertificationsData analytics, programming certificationsExcel, Tableau, Power BI certifications
Work EnvironmentDevelops data tools, pipelines, and dashboardsAnalyzes data, creates reports, interprets findings
Industry UsageTech, finance, healthcare, where data tools are neededBusiness, marketing, finance, where insights are required

While both roles work with data, Data Analytics Developers focus on building data systems and tools, whereas Data Analysts interpret data to provide insights. The roles often overlap but differ mainly in technical development versus analysis and reporting.

What are some common challenges data analytics developers face when integrating new data sources into existing analytics platforms?

Data Analytics Developers often encounter challenges such as data inconsistency, varying data formats, and incomplete documentation when integrating new sources. Ensuring data quality and compatibility with existing pipelines requires close coordination with data engineers and source system owners. Additionally, they must balance the need for rapid integration with maintaining data security and compliance standards. Overcoming these challenges typically involves thorough data profiling, robust ETL processes, and proactive communication across teams.

What does a data analytics developer do?

A Data Analytics Developer is responsible for designing, developing, and implementing data analysis tools and solutions. They work with large datasets to extract insights, create data models, and build dashboards or reports that help organizations make data-driven decisions. Their role often involves collaborating with data scientists, business analysts, and IT teams to ensure data accuracy, performance, and security. They typically use programming languages like Python or SQL and may work with business intelligence platforms such as Tableau or Power BI.

What are the key skills and qualifications needed to thrive as a data analytics developer?

To thrive as a Data Analytics Developer, you need strong analytical skills, proficiency in programming languages like Python or R, and a solid background in statistics or mathematics, typically supported by a relevant degree. Experience with data visualization tools (such as Tableau or Power BI), SQL, and cloud-based analytics platforms, as well as certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate, are highly beneficial. Excellent problem-solving abilities, attention to detail, and effective communication skills set top performers apart in this field. These skills ensure accurate data analysis, actionable insights, and successful collaboration with stakeholders to drive data-informed decision-making.

What are popular job titles related to Data Analytics Developer jobs in VA?

For Data Analytics Developer jobs in VA, the most frequently searched job titles are:

Infographic showing various Data Analytics Developer job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $112,896 per year, or $54.3 per hour.

Data Analytics & Visualization Engineer - TS/SCI with Polygraph

GDIT

Chantilly, VA

$127K - $172K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday


General Dynamics Information Technology rating

7.8

Company rating: 7.8 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

87th of 224 rated it services


Job description

Type of Requisition:

Regular

Clearance Level Must Currently Possess:

Top Secret SCI + Polygraph

Clearance Level Must Be Able to Obtain:

Top Secret SCI + Polygraph

Public Trust/Other Required:

None

Job Family:

Data Science and Data Engineering

Job Qualifications:

Skills:

Data Analytics, Data Modeling, Data Visualization, Structured Query Language (SQL), Tableau Dashboard Development

Certifications:

None

Experience:

8 + years of related experience

US Citizenship Required:

Yes

Job Description:

As a Data Analytics & Visualization Engineer, you will play a key role in transforming complex data into actionable insights through advanced analytics and high-impact visualizations. You will partner closely with analytics, engineering, and mission stakeholders to design, develop, and deliver Tableau-based dashboards that support operational awareness, performance monitoring, and executive decision-making.

You will:

  • Design, build, and evolve analytics-ready data pipelines(ETL/ELT) that support scalable reporting and visualization use cases, ingesting structured and unstructured data from diverse sources.
  • Lead the development of advanced Tableau dashboards and visual analytics products, emphasizing clarity, usability, and decision support for operational and executive audiences.
  • Translate complex datasets into clear, intuitive visual storiesthat communicate trends, risks, and performance insights.
  • Partner with analytics and engineering teams to operationalize data products into production-ready dashboards and reporting workflows.
  • Participate across the full analytics development lifecycle, including requirements gathering, data modeling, dashboard design, testing, deployment, and iterative refinement.
  • Present dashboard insights, trends, and analytical findings to internal customers and leadership, tailoring content for technical and non-technical audiences.
  • Collaborate with design and product teams to implement modern visualization techniques, UX best practices, and interactive analytics.
  • Support and continuously enhance analytics and visualization platforms, ensuring performance, scalability, and data integrity.

Required Qualifications

  • Education: Bachelor's degreein Statistics, Computer Science, Mathematics, Data Analytics, or a related quantitative field with 8+ years of relevant experience,
    OR
    5+ years of relevant experiencein data analytics, visualization, or analytics engineering in lieu of a degree.
  • Clearance: Active TS/SCI with Polygraph
  • Experience developing data pipelines and analytics workflowsusing Pythonor similar modern analytics languages.
  • Strong proficiency in SQL and data modelingto support analytical and visualization use cases.
  • Hands-on experience developing visual analytics and dashboards, with demonstrated proficiency in Tableau.
  • Experience designing dashboards for operational monitoring, trend analysis, and executive reporting.
  • Strong communication skills, with the ability to clearly explain analytical findings and visualization design decisions.
  • Analytical mindset with attention to data quality, consistency, and interpretability.

Preferred Qualifications

  • Experience collaborating with users to refine analytical questions and resolve data or visualization challenges through investigation and iterative improvement.
  • Power BI experiencefor dashboard development or cross-platform visualization environments.
  • Tableau or other data visualization certifications.
  • Background in data visualization best practices, UX/UI principles, or visual analytics design.
  • Experience automating analytics workflows and data preparation using Python.
  • Experience with API-based data ingestion and integration.
  • Familiarity with cloud platforms such as AWS, Azure, or GCP.
  • Optionalexperience with containerized environments (e.g., Docker).
  • Experience working in Agile environments using tools such as GitLab, Git, and CI/CD pipelines.
  • Knowledge of open-source analytics and visualization ecosystems.


GDIT is Your Place:
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 data science and engineering at GDIT and you'll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.

#GDITcareers #OpportunityOwned#WeAreGDIT #transitioningmilitary#clearedjobs #veterans #AutobotsThe likely salary range for this position is $127,500 - $172,500. 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.

Scheduled Weekly Hours:

40

Travel Required:

None

Telecommuting Options:

Onsite

Work Location:

USA VA Chantilly

Additional Work Locations:

Total Rewards at GDIT:

Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

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

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About General Dynamics Information Technology

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GDIT is 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. Its 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. The company operates across 50+ countries worldwide, offering leading capabilities in digital modernization, AI/ML, cloud, cyber, and application development.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Falls Church, VA, US