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Data Engineer Sports Analytics Jobs in Washington

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 ...

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 ...

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 ...

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 ...

Data Engineer - Analytics Platforms

Bowie, MD · On-site

$110K - $132K/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 ...

Data Engineer - Analytics Platforms

Bowie, MD · On-site

$110K - $132K/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 ...

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 ...

Data Engineer

Hanover, MD · On-site

$112K - $135K/yr

Build data analytics solutions using Azure Synapse serverless SQL pools. * Perform data engineering with Azure Synapse Apache Spark Pools. * Monitor and troubleshoot data systems and pipelines to ...

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 ...

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 ...

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 ...

Data Engineer

Hanover, MD · On-site

$113K - $136K/yr

Build data analytics solutions using Azure Synapse serverless SQL pools. * Perform data engineering with Azure Synapse Apache Spark Pools. * Monitor and troubleshoot data systems and pipelines to ...

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 ...

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 ...

Data Engineer

Arlington, VA · On-site +1

$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 ...

Data Engineer

Arlington, VA

$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 ...

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 ...

Showing results 41-60

Data Engineer Sports Analytics information

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.

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 are popular job titles related to Data Engineer Sports Analytics jobs in Washington?

For Data Engineer Sports Analytics jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Data Engineer Sports Analytics jobs in Washington look for?

The top searched job categories for Data Engineer Sports Analytics jobs in Washington are:

What cities in Washington are hiring for Data Engineer Sports Analytics jobs?

Cities in Washington with the most Data Engineer Sports Analytics job openings:

Infographic showing various Data Engineer Sports Analytics job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Engineer

Altus Consulting Corp

Herndon, VA • On-site

$117K - $141K/yr

Full-time

Re-posted 14 days ago


Job description

Altus Consulting is seeking a skilled Data Engineer to join our dynamic team. You will be responsible for designing, developing, and maintaining data pipelines and infrastructure that provide reliable and high-quality data for our clients' analytics needs. You will leverage your understanding of data engineering principles, best practices, and technologies to deliver efficient and scalable solutions.Responsibilities:Design and develop data pipelines using industry-standard tools and technologies (e.g., Apache Spark, Kafka, Airflow).Extract, transform, and load (ETL) data from various sources into data warehouses and lakes.Develop and maintain data quality checks and monitoring processes.Optimize data pipelines for performance and scalability.Collaborate with data scientists and analysts to understand their needs and deliver data that meets their requirements.Document data pipelines and processes effectively.Stay up-to-date with the latest advancements in data engineering technologies and trends.Preferred Skills:Strong programming skills (Python, Java, Scala).Experience with Big Data technologies (Hadoop, Spark).Experience with Cloud platforms (AWS, Azure, GCP).Familiarity with data warehousing and data lake technologies.Excellent problem-solving and analytical skills.Strong communication and collaboration skills.Ability to work independently and as part of a team.Basic Qualifications:Active TS/SCI with poly clearance is required.Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (preferred).2+ years of experience in data engineering or a related role.Understanding of data engineering principles and best practices.Disclaimer:The information provided in this job description is accurate and truthful to the best of our knowledge. However, it is not intended to be a contract, and we reserve the right to modify the job description at any time. Altus Consulting is dedicated to diversity and inclusion, building a work environment where everyone feels respected and valued. We firmly believe in equal opportunity, guaranteeing fair and unbiased treatment for all individuals in all aspects of employment, regardless of race, color, religion, national origin, gender, sexual orientation, gender identity, pregnancy, childbirth or related medical conditions, age, protected veteran status, or disability status. We oppose discrimination in any form, and our commitment is evident in every interaction.