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Data Analytics Developer Jobs in Virginia (NOW HIRING)

Airbus

Data Analytics Specialist

Dulles, VA · On-site

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 ...

Mitre

Senior Software Developer, Data Analytics

Mclean, VA · On-site

$55 - $72.75/hr

Experience with the Map Reduce programming model and technologies such as Hadoop, Hive, and Pig is a plus. Experience analyzing Medicare Fraud data and CMS health data is needed for some projects ...

Ignite Digital

Data Analyst

Chesapeake, VA · On-site

$90K/yr

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 ...

ICF

Manager, Data Analytics - Remote

Reston, VA · Remote

Partner with cybersecurity, engineering, product, and program management teams to align data platforms, applications, integrations, and analytics capabilities with enterprise standards. * Establish ...

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All JobsData Analytics Developer JobsData Analytics Developer Jobs in Virginia

Data Analytics Developer information

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How much do data analytics developer jobs pay per hour?

As of Sep 6, 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 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 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 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 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:

Data Analytics Developer jobs near you
Infographic showing various Data Analytics Developer job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $112,896 per year, or $54.3 per hour.

Senior Data Analytics Engineer

Wilcore Technologies

Stafford, VA • On-site

$130K - $140K/yr

Full-time

Re-posted 14 days ago

Job description

Description:

Wilcore believes that the best products are built when companies understand and value the things they are working on. We value learning and growth and the ability to make a big impact at a small company. We believe that we can make big changes happen 

and improve the daily lives of millions of people by bringing quality software to the federal space. .


We are seeking a Senior Data Analytics Engineer with strong technical depth and an engineering mindset to support data-driven decision-making across our programs. This role blends advanced analytics with data engineering fundamentals and will play a critical role in identifying, integrating, and transforming complex data sources—particularly within the VA healthcare and government data ecosystem.


The ideal candidate is highly curious, proactive, and comfortable working across the full data lifecycle: from locating and exploring raw data sources to building scalable datasets, dashboards, and analytical models that drive mission outcomes.


This position is contingent upon contract award. Employment is dependent on Wilcore being awarded the associated federal contract. Candidates selected for this role will be contacted regarding a start date once award is confirmed. By applying, you acknowledge that this opportunity may not result in immediate employment and is subject to the outcome of the contract award process.


What you'll be doing:

• Designing, building, and maintaining analytical datasets to support reporting, forecasting, and data-driven decision-making.

• Creating interactive dashboards and visualizations using Power BI to communicate insights to technical and non-technical stakeholders.

• Writing and optimizing SQL queries to extract, transform, and manage large datasets across multiple data sources.

• Using Python for data processing, automation, and AI/analytics use cases

• Proactively exploring and identifying new data sources—particularly within VA and healthcare environments—to expand analytical capabilities

• Developing and maintaining data pipelines and workflows to integrate, transform, and model data for reporting and advanced analytics

• Partnering with Program Management, Engineering, and other business units to understand requirements and deliver accurate, actionable insights

• Ensuring data quality, integrity, documentation, and adherence to data governance best practices Using Python for data processing, automation, and AI/analytics use cases

 • Working with unstructured data and/or NoSQL databases to support data analysis, integration, and reporting. 


What you’ll bring:

• 5–7 years of experience in data analytics, data engineering, or a closely related technical role

• Strong experience with SQL and relational database technologies

• Hands-on experience developing dashboards and reports using Power BI

• Proficiency with Python for analytics, automation, and AI-related workflows

• A proactive, curiosity-driven mindset with the ability to independently explore data and uncover meaningful insight

• Demonstrated ability to translate complex data into clear, actionable recommendations


Nice to Have:

• Experience with data integration and orchestration tools such as SSIS, Azure Data Factory, or Databricks

• Familiarity with Oracle Health, or healthcare data environments

• Exposure to cloud-based data platforms and modern data architectures

• Prior experience working with the government, VA, or healthcare-related datasets


Requirements:

• Must be a US Citizen and able to work domestically

• Must be able to attain low-level security clearance


Education:

• Bachelor’s degree

Requirements:


Apply