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Data Engineer Sports Analytics Jobs in Reston, VA

KDA Consulting Inc

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

This role focuses on enabling efficient data processing, analytics, and decision-making by ... Data Pipeline Development & Engineering * Design, develop, and maintain scalable ETL/ELT pipelines ...

KDA Consulting Inc

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

This role focuses on enabling efficient data processing, analytics, and decision-making by ... Data Pipeline Development & Engineering * Design, develop, and maintain scalable ETL/ELT pipelines ...

ECS

Data Engineer

Ashburn, VA · On-site

$145K - $160K/yr

The Data Engineer supports the construction and day-to-day operation of Customs and Border Protection (CBP) data pipelines, contributing to the platform's mission of delivering reliable, analytics ...

Woodgrove Solutions LLC

Data Engineer

Vienna, VA · On-site

$90K - $170K/yr

Woodgrove Solutions, LLC (Woodgrove) is leading-edge Management and Technology Services firm providing data engineering, analytics, and advisory services to both the Corporate and Federal sectors.

Peraton

Data Engineer - Analytics Platforms

Herndon, VA

$117K - $141K/yr

Minimum of a BS degree with 5+ years of experience, MS degree with 3+ YoE, or PhD in Computer Science, Data Engineering, Information Systems, Data Analytics, or a related field * Strong hands-on ...

Peraton

Data Engineer - Analytics Platforms

Herndon, VA · On-site

$86K - $138K/yr

Minimum of a BS degree with 5+ years of experience, MS degree with 3+ YoE, or PhD in Computer Science, Data Engineering, Information Systems, Data Analytics, or a related field * Strong hands-on ...

Peraton

Data Engineer - Analytics Platforms

Herndon, VA

$117K - $141K/yr

Minimum of a BS degree with 5+ years of experience, MS degree with 3+ YoE, or PhD in Computer Science, Data Engineering, Information Systems, Data Analytics, or a related field * Strong hands-on ...

Dlapiper

Data Engineer

Washington, DC · On-site

$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 ...

Magnus Management Group LLC

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 ...

New

DLA Piper

Data Engineer

Reston, VA · On-site

$119K - $143K/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 ...

RIVIDIUM

Data Engineer (Advanced Analytics)

Alexandria, VA · Hybrid

$122K - $146K/yr

RiVidium Inc. is seeking a Data Engineer (Advanced Analytics) to support our planned MODES III team supporting Military Community and Family Policy (MC&FP). This role supports IT, Cybersecurity, and ...

Booz Allen Hamilton

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, agile environment. You'll sharpen your skills in analytical exploration ...

Booz Allen Hamilton, Inc.

Data Engineer

Washington, DC · 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 ...

Booz Allen Hamilton

Data Engineer

Washington, DC · On-site

$77K - $176K/yr

R0243926 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 ...

Hirekeyz Inc

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 ...

Booz Allen Hamilton, Inc.

Data Engineer

Arlington, VA · On-site

$62K - $141K/yr

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

Booz Allen Hamilton

Data Engineer

Washington, DC

$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 ...

Dlapiper

Data Engineer

Reston, VA · On-site

$119K - $143K/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 ...

GRVTY

Data Engineer

Chantilly, VA · On-site

$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 ...

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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 Jul 18, 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.

How much do NFL data analysts make?

NFL data analysts typically earn between $60,000 and $100,000 annually, depending on experience, education, and the level of responsibility. These roles often require proficiency in data analysis tools, programming languages, and sports analytics knowledge. Salaries can vary based on the organization and geographic location.

Can a data analyst work in sports?

A data analyst can work in sports by analyzing player performance, game statistics, and team data to support decision-making. Skills in data visualization, statistical analysis, and tools like SQL and Python are commonly used in sports analytics roles. Transitioning to sports analytics often requires knowledge of the sport and relevant data sources.

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, and why are they important?

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.

Do NFL teams hire data analysts?

Yes, NFL teams often hire data analysts and data engineers to analyze player performance, game strategies, and injury data. These roles typically require skills in data management, statistical analysis, and familiarity with sports analytics tools like R or Python. Data professionals help teams make data-driven decisions to improve performance and competitiveness.

Is 40 too late for data science?

For a Data Engineer in sports analytics, starting a career at 40 is feasible, especially with relevant skills in programming, data management, and analytics tools. Many professionals transition into data roles later in life, and experience in related fields can be an advantage. Continuous learning and certifications can help accelerate entry into the field regardless of age.
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Data Engineer Sports Analytics jobs near you

Data Engineer

KDA Consulting Inc

Herndon, VA • On-site

$117K - $141K/yr

Full-time

Re-posted 13 days ago

Job description

KDA Consulting Inc. is seeking a highly skilled Data Engineer to design, build, and maintain scalable data pipelines and architectures supporting mission-critical programs within the Intelligence Community (IC). This role focuses on enabling efficient data processing, analytics, and decision-making by delivering reliable, high-quality data solutions in cloud environments.

The ideal candidate will have strong experience with AWS cloud services, data engineering best practices, and big data technologies, with the ability to operate in a fast-paced, collaborative environment supporting complex mission systems.

Data Pipeline Development & Engineering

  • Design, develop, and maintain scalable ETL/ELT pipelines to ingest, transform, and load data from multiple sources
  • Build and optimize data workflows supporting both batch and real-time processing
  • Ensure high availability and reliability of data pipelines across enterprise systems

AWS Cloud & Data Services

  • Leverage AWS services such as S3, Glue, Lambda, Redshift, EMR, and Kinesis to support data engineering solutions
  • Design and manage cloud-based data architectures that are secure, scalable, and cost-efficient
  • Implement best practices for data storage, partitioning, and lifecycle management

Data Optimization & Performance

  • Optimize data storage and retrieval for performance, scalability, and cost efficiency
  • Implement indexing, partitioning, and query optimization strategies
  • Monitor and troubleshoot data pipeline performance issues

Data Quality & Governance

  • Ensure data accuracy, consistency, and integrity across all data pipelines and systems
  • Implement validation, monitoring, and error-handling mechanisms
  • Support data governance practices and compliance with security and IC standards

Collaboration & Integration

  • Work closely with data scientists, software engineers, and mission stakeholders to support analytics and operational needs
  • Integrate data solutions with enterprise applications, APIs, and downstream analytics platforms
  • Participate in Agile development processes and contribute to continuous improvement efforts

Requirements

Active TS/ SCI W/ Polygraph Required.

Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent experience)

Demonstrated experience in data engineering and pipeline development

Strong experience with AWS data services (e.g., S3, Glue, Redshift, Lambda, EMR)

Proficiency in SQL and Python for data processing and transformation

Experience working with large-scale data sets and big data technologies

Strong analytical and problem-solving skills