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Data Engineer Sports Analytics Jobs in Reston, VA

Pantheon Data

Data Engineer

Washington, DC · On-site

$80K - $120K/yr

Collaborate with analysts, data scientists, and stakeholders.Required Skills and ExperienceBachelor's degree in Data Engineering, Computer Science, Software Engineering, or related field.AWS Data ...

Pantheon Data

Data Engineer

Washington, DC · On-site

$80K - $120K/yr

Collaborate with analysts, data scientists, and stakeholders. Required Skills and Experience * Bachelor's degree in Data Engineering, Computer Science, Software Engineering, or related field. * AWS ...

Corner Alliance

Analytics Data Engineer

Washington, DC · On-site +1

$120K - $144K/yr

As an Analytics Data Engineer supporting our Federal government client, you will be trusted to provide support in making data driven decisions that improve grant program outcomes. Key ...

Corner Alliance

Analytics Data Engineer

Washington, DC · Remote

$117K - $140K/yr

As an Analytics Data Engineer supporting our Federal government client, you will be trusted to provide support in making data driven decisions that improve grant program outcomes. Key ...

Corner Alliance

Analytics Data Engineer

Washington, DC · On-site

$129K - $155K/yr

As an Analytics Data Engineer supporting our Federal government client, you will be trusted to provide support in making data driven decisions that improve grant program outcomes. Key ...

Meta

Data Engineer, Product Analytics

Washington, DC · On-site +1

$177K/yr

Data Engineer, Product Analytics Responsibilities: * Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs ...

Meta

Data Engineer, Product Analytics

Washington, DC · On-site +1

$147K/yr

Data Engineer, Product Analytics Responsibilities: * Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs ...

Elder Research

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

Data Engineer General Information Requisition # 675 Locations USA-VA-Arlington Posting Date 03/04 ... This role sits within an analytics-focused business unit supporting IRS enforcement, compliance ...

Elder Research

Data Engineer

Arlington, VA

$131K - $158K/yr

Data Engineer General Information Requisition # 675 Locations USA-VA-Arlington Posting Date 03/04 ... This role sits within an analytics-focused business unit supporting IRS enforcement, compliance ...

ProSidian Consulting

Data Engineer

Alexandria, VA · Hybrid

$122K - $147K/yr

We seek Data Engineer | Workforce Planning & Strategic Human Capital Analytics - Training Analytics & Optimization [NSF0038038] candidates with relevant Government And Public Services Sector ...

Accenture Federal Services

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Develop efficient data processing and transformation workflows to support analytics and reporting ... Experience with COTS and open-source data engineering tools such as ElasticSearch and NiFi

eSolutionsFirst, LLC

Data Engineer

Mclean, VA · On-site

$117K - $141K/yr

This role will collaborate closely with data analysts, software engineers, architects, and business stakeholders to deliver reliable, high-quality data solutions. Key Responsibilities * Design ...

IT America Inc

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Data Engineer Location: Mclean, VA Duration: Long term contract Note: Looking for Ex-Capital One ... This role involves working closely with Capital One's data, analytics, and technology teams to ...

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Showing results 1-20

All JobsData Engineer Sports Analytics JobsData Engineer Sports Analytics Jobs in Reston, VA

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:
Data Engineer Sports Analytics jobs near you
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.

Senior Data Engineer (Wizards)

Monumental Sports & Entertainment

Washington, DC • On-site

$150K - $190K/yr

Full-time

Posted 3 days ago

New

Job description

Monumental Sports & Entertainment (MSE) is one of the leading integrated sports and entertainment companies globally. MSE's portfolio spans premier professional sports teams, world-class venues, and next-generation media properties, with marquee assets including the NHL's Washington Capitals, NBA's Washington Wizards, WNBA's Washington Mystics, NBA G League's Capital City Go-Go, Capital One Arena, and Monumental Sports Network, along with an investment in Team Liquid.
Rooted in the nation's capital, MSE brings Washington, D.C's distinct influence, ambition, and leadership to the global sports and entertainment landscape. The company harnesses the power of its platform to drive continuous innovation and deliver extraordinary experiences that inspire and unite our community, our fans, and our people.
Our success is powered by talented people who bring passion, creativity, and collaboration to everything they do. If you're looking to build your career in a dynamic, fast-paced organization that's shaping the future of sports and entertainment, we'd love to hear from you.
Position Overview:
The Senior Data Engineer is responsible for architecting, building, and maintaining data infrastructure in a greenfield stack. This position will design and architect data infrastructure to handle large datasets with varying data including basketball statistical data from the NBA and other leagues, video data, body pose tracking data, basketball qualitative data (e.g. scouting reports), and health and performance data. These datasets will be used by research analysts and data scientists to perform basketball data analysis, as well as by software developers for web and mobile applications.
Do you have a passion for sports!? Are you a creative problem-solver who enjoys building and optimizing data solutions? We'd love to hear from you!
Responsibilities:
  • Architect the data engineering infrastructure to be performant, reliable, and scalable.
  • Lead data engineering efforts, including making decisions on technologies, providers, database design, partitioning and indexing strategies, and software patterns.
  • Create and maintain data pipelines to ingest, validate, and organize critical data using orchestration tools (e.g. Prefect).
  • Optimize pipelines and data storage to handle large datasets.
  • Build thorough data validation procedures to ensure data is of the highest quality.
  • Implement medallion architectures to organize our data structure and provide data lineage.
  • Work with key cross-department team members (front office executives, coaches, scouts, salary cap strategists, medical/performance directors, etc.) to build products, implement feedback, and efficiently fix bugs.
  • Maintain knowledge of emerging technologies like generative AI and make decisions on how to use them.
  • Other duties as assigned.
Minimum Qualifications:
  • 5+ years of professional software development experience.
  • Strong proficiency with a variety of transactional (OLTP) and analytical (OLAP) databases.
  • Sophisticated knowledge of Python and SQL.
  • Experience with data engineering frameworks such as Prefect, DBT, etc.
  • Experience with open-source backend frameworks such as Rails, Django, Next.js, etc.
  • Diverse set of infrastructure experience with both PaaS and IaaS platforms and the ability to dynamically recommend infrastructure stacks and manage associated budgets.
  • Experience with Docker.
  • Experience working with large datasets.
  • Ability to effectively prioritize tasks and manage time efficiently.
  • High integrity; dependable and comfortable with confidential information.
  • Ability to work effectively with peers.
  • Experience with AWS, GCP, Microsoft Azure, or another cloud service.
  • Familiarity with agile development frameworks.
  • Flexibility to work evenings, weekends, and holidays as needed.

Pay Range: $150k - $190k USD.
Benefit Eligibility: This role is eligible to participate in health and welfare benefits.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

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