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Data Engineer Sports Analytics Jobs in Reston, VA

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 ...

Altus Consulting Corp

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

Collaborate with data scientists and analysts to understand their needs and deliver data that meets ... Strong programming skills (Python, Java, Scala).Experience with Big Data technologies (Hadoop ...

Altus Consulting Corp

Data Engineer

Herndon, VA

$117K - $141K/yr

Collaborate with data scientists and analysts to understand their needs and deliver data that meets ... Strong programming skills (Python, Java, Scala). * Experience with Big Data technologies (Hadoop ...

KDA Consulting Inc

Data Engineer

Mclean, VA · On-site

$115K - $139K/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 ...

Altus Consulting Corp

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

Collaborate with data scientists and analysts to understand their needs and deliver data that meets ... Strong programming skills (Python, Java, Scala). * Experience with Big Data technologies (Hadoop ...

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 ...

AaraTechnologies Inc

DATA ENGINEER

Washington, DC · On-site

$129K - $155K/yr

Collaborate with BI and analytics teams Required Qualifications * 2-3 years of experience in Data Engineering or related role * Strong SQL skills and basic Python knowledge * Understanding of ETL ...

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 · On-site

$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

$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 ...

NasTech Global, Inc.

Data Engineer

Alexandria, VA · On-site

$122K - $146K/yr

... analytics at enterprise scale 3+ years of experience with Python, SQL, Scala, or R Experience ... data engineering, application development, data science, or related technical field 3+ years of ...

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 ...

ResolveSoft Inc

Be Seen First

Data Engineer

Washington, DC · Remote

$98K - $128K/yr

Data Engineer / Data Project Lead Location: Remote Position Summary The Data Engineer / Data ... Supervise and provide technical direction to data-focused staff, including Data Analysts, Data ...

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 ...

Dlapiper

Data Engineer

Reston, VA

$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 ...

Bigbear.ai

Data Engineer

Washington, DC · On-site

$125K - $150K/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 ...

VTG

Data Engineer

Chantilly, VA · On-site

$140K - $195K/yr

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 ...

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Showing results 21-40

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.

Data Engineer

KDA Consulting Inc

Chantilly, VA • On-site

$117K - $140K/yr

Full-time

Re-posted 4 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

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