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Data Engineer Sports Analytics Jobs in Reston, VA

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 ...

New

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

Accenture Federal Services

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

... to support analytics and reporting needs. • Integrate diverse data sources including APIs ... open-source data engineering tools such as ElasticSearch and NiFi • Experience with Docker ...

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 ...

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 ...

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 ...

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 · 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 ...

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 ...

Dlapiper

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 ...

ANSER

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

ANSER is a company focused on enhancing national and homeland security through independent analysis and practical solutions. They are seeking a Data Engineer to design, build, and optimize data ...

Bridge Core (BCore)

Data Engineer

Herndon, VA · Hybrid

$117K - $141K/yr

Data Engineer City, VA TS/SCI with Poly At Bcore, our strength comes from how we deliver impact to ... Your solutions and create cyber and operational analytic tools for consumers that assist them in ...

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 ...

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 ...

Bridge Core (BCore)

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

Overview Data Engineer City, VA TS/SCI with Poly At Bcore, our strength comes from how we deliver ... Your solutions and create cyber and operational analytic tools for consumers that assist them in ...

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 ...

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 ...

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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 Jun 25, 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, 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.
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 95% Full Time, and 5% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $134,951 per year, or $64.9 per hour.
Data Engineer

Data Engineer

eSolutionsFirst, LLC

Mclean, VA • On-site

$117K - $141K/yr

Other

Posted 2 days ago

Job description

We are seeking a skilled Data Engineer with 5 7 years of experience to design, build, and maintain scalable data pipelines and cloud-based data solutions. The ideal candidate will have strong expertise in SQL, Azure Data Services, and Databricks, with experience supporting analytics, reporting, and data-driven business initiatives. This role will collaborate closely with data analysts, software engineers, architects, and business stakeholders to deliver reliable, high-quality data solutions.

Key Responsibilities

  • Design, develop, and maintain scalable ETL/ELT pipelines using Azure and Databricks.
  • Build and optimize data ingestion processes from multiple structured and unstructured data sources.
  • Develop and maintain data models, data warehouses, and data marts to support business intelligence and analytics needs.
  • Write complex SQL queries, stored procedures, and performance-tuned data transformations.
  • Implement data quality, validation, and monitoring processes to ensure data accuracy and integrity.
  • Develop and maintain Databricks notebooks, workflows, and Spark-based data processing solutions.
  • Collaborate with business stakeholders, analysts, and engineering teams to gather requirements and deliver data solutions.
  • Optimize data pipelines for performance, scalability, and cost efficiency.
  • Support production deployments, troubleshoot data issues, and perform root cause analysis.
  • Create and maintain technical documentation, data lineage, and operational procedures.

Required Qualifications

  • 5 7 years of experience in Data Engineering, Data Warehousing, or related roles.
  • Strong SQL expertise including query optimization, performance tuning, indexing, and complex data transformations.
  • Hands-on experience with Azure Data Services including Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), Azure SQL Database, and Azure Synapse Analytics.
  • Strong experience with Databricks, Apache Spark, PySpark, and notebook development.
  • Experience building and maintaining ETL/ELT pipelines in cloud environments.
  • Proficiency in Python for data engineering and automation tasks.
  • Experience with dimensional modeling, star/snowflake schemas, and data warehousing concepts.
  • Knowledge of data governance, data quality, and metadata management practices.
  • Familiarity with Git-based source control and Agile development methodologies.
  • Strong analytical, troubleshooting, and problem-solving skills.

Preferred Qualifications

  • Experience with Power BI or other reporting and visualization platforms.
  • Knowledge of Delta Lake, Lakehouse architecture, and real-time data processing.
  • Exposure to Azure DevOps, CI/CD pipelines, and Infrastructure-as-Code practices.
  • Experience working with large-scale enterprise datasets and distributed data processing.
  • Familiarity with data security, compliance, and access control best practices.
  • Azure Data Engineer Associate (DP-203) or related cloud certifications preferred.

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