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Data Engineer Sports Analytics Jobs in Reston, VA

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

The contract delivers WPS training and education for the Joint Force, sociocultural analysis, and data collection for annual statutory reporting. The Data Engineer supports the J5 data infrastructure ...

Data Engineer

Washington, DC · Remote

$117K - $140K/yr

Vision insurance Seeking a Data Engineer responsible for designing, developing, and maintaining scalable enterprise data pipelines supporting advanced fraud analytics. The candidate will manage ...

Data Engineer

Chantilly, VA

$117K - $140K/yr

Ensure proper data transformation and curation to meet business and analytics requirements ... Strong proficiency in scripting and programming with Python. * Expertise in working with SQL for ...

Posted today

Data Engineer

Alexandria, VA · On-site

$122K - $147K/yr

Data Engineer Location: 5 days per week in Alexandria, VA (Mark Center) Job Type: Contract W2 ... and analytics at enterprise scale * 3+ years of experience with Python, SQL, Scala, or R

Seeking a Cloud Data Engineer to design, develop, and optimize scalable cloud-based data platforms that support analytics, AI/ML, and business intelligence initiatives. This role focuses on cloud ...

Data Engineer

Washington, DC

$129K - $155K/yr

Work cross-functionally with engineers, analysts, and stakeholders to understand requirements and deliver data solutions that support sprint-based delivery. * Support pod-level delivery by producing ...

Data Engineer

Chantilly, VA · On-site +1

$77K - $176K/yr

Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and ... You'll use your experience in analytical exploration and data examination while you manage the ...

Data Engineer

Rockville, MD

$116K - $140K/yr

Our mission is to bring together analytical minds and innovative technology to help life sciences ... We're looking for a Data Engineer who is passionate about modern data platforms, cloud technologies ...

Data Engineer

Fairfax, VA · On-site

$117K - $140K/yr

Data Engineer Location: Onsite in Fairfax, VA 3 days and in Washington, DC 2 days per week ... Architect and develop scalable data models, curated datasets, and analytics-ready structures for ...

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Collaborate with data scientists and analysts to understand data requirements, work with security teams to implement data protection measures, and stay current with data engineering technologies and ...

Data Engineer

Chantilly, VA

$117K - $140K/yr

This project regularly needs various types of people - Data Scientists, Data / ETL Engineers, Analytic Software Engineers, Full Stack Developers, UI/UX Developers, and AWS/DevOps experts. We're ...

Data Engineer

Chantilly, VA · On-site

$77K - $176K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... You'll use your experience in analytical exploration and data examination while you manage the ...

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Analytica is seeking Data Engineers across multiple experience levels--from junior to senior--to ... analytics solutions. We are actively considering candidates with a range of expertise, and ...

Data Engineer

Washington, DC · On-site +1

$74K - $156K/yr

Summary DDI Data Engineers solve critical data challenges by building optimal data pipelines, analyzing and transforming data, and delivering data to systems to advance CIA's intelligence mission.

Data Engineer

Fort Belvoir, VA · On-site

$185K - $220K/yr

Implement long-term data storage solutions and data models supporting analytics; ensure classified-environment data security. Coordinate with software developers for data integration; provide ...

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

Here, you'll work with a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced and agile environment. You'll sharpen your skills in analytical ...

Data Engineer

Mclean, VA · On-site

$116K - $139K/yr

This role focuses on enabling efficient data processing, analytics, and decision-making by ... engineering solutions • Design and manage cloud-based data architectures that are secure ...

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

This role focuses on enabling efficient data processing, analytics, and decision-making by ... engineering solutions • Design and manage cloud-based data architectures that are secure ...

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Minimum of 3 - 8 years of experience conducting analysis using data engineering (an additional 4 years of experience may be substituted for the above education requirements) * Demonstrable experience ...

Data Engineer

Chantilly, VA

$118K - $142K/yr

Data Engineer Location: Chantilly, VA Work Schedule: Full-Time, Onsite Clearance Required: Active ... Build scalable and maintainable data architectures to support analytics and machine learning ...

Showing results 41-60

Data Engineer Sports Analytics information

See Reston, VA salary details

$46.3K

$135K

$184.7K

How much do data engineer sports analytics jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data engineer sports analytics in Reston, VA is $134,951.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,100.00 and $143,000.00 per year, depending on experience, location, and employer.

How does a data engineer in sports analytics typically collaborate with data scientists and analysts on a project?

As a Data Engineer in Sports Analytics, you’ll regularly work alongside data scientists and analysts to ensure high-quality, reliable data is available for modeling and analysis. Your responsibilities often include building and maintaining data pipelines, transforming raw sports data into usable formats, and optimizing data storage for performance. Effective communication is key, as you’ll need to understand the analytical requirements and adjust pipelines or data sources accordingly. Collaboration often happens through regular meetings, shared documentation, and close feedback loops to align on project goals and data needs.

What is the difference between Data Engineer Sports Analytics vs Data Analyst Sports Analytics?

AspectData Engineer Sports AnalyticsData Analyst Sports Analytics
Primary FocusBuilding and maintaining data pipelines, infrastructure, and databasesAnalyzing data, generating reports, and providing insights
Skills & CertificationsSQL, Python, data warehousing, cloud platformsExcel, SQL, statistical analysis, visualization tools
Work EnvironmentData engineering teams, IT infrastructureBusiness teams, sports analytics departments
Industry UsageSports organizations, tech companies supporting sports dataSports teams, media outlets, betting companies

While Data Engineer Sports Analytics focuses on building and maintaining the data infrastructure necessary for sports data analysis, Data Analyst Sports Analytics concentrates on interpreting that data to generate actionable insights. Both roles are essential in sports analytics but serve different functions within the data ecosystem.

What does a data engineer in sports analytics do?

A Data Engineer in Sports Analytics designs, builds, and maintains the infrastructure and systems that collect, store, and process large volumes of sports-related data. They ensure data pipelines are efficient and reliable so that analysts and data scientists can access accurate information for player performance analysis, game strategy, and business decisions. Their work involves integrating data from various sources, optimizing databases, and implementing best practices in data security and quality, all within the context of the sports industry.

What are the key skills and qualifications needed to thrive as a data engineer in sports analytics?

To thrive as a Data Engineer in Sports Analytics, you need a strong background in computer science, data modeling, and database management, typically supported by a relevant degree and experience with large data sets. Familiarity with tools and technologies such as SQL, Python, Spark, cloud platforms (AWS, Azure), and ETL pipelines is essential, and certifications in these areas can be advantageous. Excellent problem-solving, teamwork, and communication skills help you collaborate with analysts, coaches, and stakeholders to translate data into actionable insights. These competencies ensure the efficient collection, processing, and delivery of high-quality sports data that drive performance analysis and competitive advantage.
What are popular job titles related to Data Engineer Sports Analytics jobs in Reston, VA? For Data Engineer Sports Analytics jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Data Engineer Sports Analytics jobs in Reston, VA look for? The top searched job categories for Data Engineer Sports Analytics jobs in Reston, VA are:
What cities near Reston, VA are hiring for Data Engineer Sports Analytics jobs? Cities near Reston, VA with the most Data Engineer Sports Analytics job openings:
Infographic showing various Data Engineer Sports Analytics job openings in Reston, VA as of June 2026, with employment types broken down into 1% Internship, 89% Full Time, 5% Part Time, and 5% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $134,951 per year, or $64.9 per hour.

Data Engineer

Q2Impact

Washington, DC • On-site

$129K - $155K/yr

Full-time

Posted 14 days ago


Job description

Project Summary: This contract supports the Joint Staff Strategy, Plans, and Policy Directorate (J5), through its Deputy Directorate for Counter Threats and International Cooperation (DDCTIC), in meeting the minimum statutory requirements of Public Law 115-68, the Women, Peace, and Security (WPS) Act of 2017. The contract delivers WPS training and education for the Joint Force, sociocultural analysis, and data collection for annual statutory reporting. The Data Engineer supports the J5 data infrastructure underpinning all of these functions, building and maintaining the data pipelines, repositories, and AI-enabled tools that allow analysts and senior decision-makers across the directorate to access mission-critical information. This position is full-time and is contingent upon award.
Position Summary: The Data Engineer designs, builds, and maintains the data infrastructure supporting J5 WPS statutory reporting and analytical functions. The role is responsible for identifying and integrating mission-critical data sources from across the DoW and interagency partners, managing curated datasets within the J5 Data Catalog, and developing and maintaining WPS AI agents. The Data Engineer works closely with WPS analysts and Joint Staff leadership to ensure data assets are standardized, documented, and decision-ready.
General Duties and Responsibilities:
  • Identify, acquire, and engineer access to mission-critical data sources from across the DoW and interagency partners.
  • Design, build, and maintain automated data pipelines to ingest, clean, and integrate data into a centralized repository.
  • Publish and manage curated datasets as discoverable assets within the J5 Data Catalog, ensuring documentation, standardization, and accessibility for analysts and decision-makers.
  • Develop and maintain WPS AI agents in support of J5 analytical and reporting requirements.
  • Support data collection and collation for NATO reporting requirements and annual WPS statutory reporting.
  • Produce interactive dashboards and data visualizations for senior military leadership, including Flag Officers, General Officers, and SES members.
  • Prepare and present technical materials to senior leadership as required.
  • Contribute to Monthly Status Reports and other deliverables as required by the PWS.

Qualifications:
  • Proven, hands-on expertise in data engineering, including building and maintaining secure data pipelines and managing data warehouse solutions in a cloud environment (e.g., AWS, Azure).
  • Expert-level proficiency in data programming languages (e.g., Python, R).
  • Experience developing interactive dashboards for senior leadership using visualization tools (e.g., Tableau, Power BI).
  • Ability to prepare and present materials to Flag Officers, General Officers, or Senior Executive Service (SES) members.
  • Familiarity with DoW data governance frameworks and interagency data-sharing protocols preferred.
  • Experience with AI/ML tool development in a government or national security context preferred.
  • Minimum of three (3) years of experience leading data-centric programs, with demonstrated expertise in designing and implementing enterprise data strategy, architecture, and governance.
  • Minimum of five (5) years of function-related experience at the operational or strategic level, with a demonstrated understanding of DoW organization and operations.
  • Experience includes joint doctrine, strategic planning, the operational planning process, and DoD security cooperation.
  • Proficiency in Microsoft Office suite required.
  • Master's degree or higher in Data Science, Computer Science, Statistics, or a related quantitative field.

Location and Travel: Pentagon / National Capital Region (NCR). Telework considered only on an exception basis. Travel in support of contract requirements as directed by the COR.
Requirements
Required Security Clearance: U.S. Citizenship required. Must possess and maintain a final Top Secret (TS) security clearance, fully adjudicated with an indication of "determined eligibility of DCID 6/4" in the Joint Personnel Adjudication System (JPAS).