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Data Engineer Sports Analytics Jobs in Portland, OR

US Bank

Infrastructure Data Analytics Engineer

Gresham, OR

$121K - $145K/yr

The Infrastructure Data Analytics Engineer is responsible for acquiring, transforming, integrating, and analyzing data from infrastructure, platform, cloud, and enterprise technology systems. This ...

New

Moda Health

Data Engineer I, II

Portland, OR · On-site +1

$78K - $110K/yr

Demonstrated analytical skills and ability to contribute to data driven solutions that address real business problems, with guidance from senior engineers when needed. * Working knowledge of Agile ...

nLIGHT

Temporary Data Engineer

Vancouver, WA

$45 - $58/hr

We are seeking a Temporary Data Engineer to support analysis and data-driven decision-making within a high-tech manufacturing environment. This role will focus on integrating and analyzing data from ...

nLIGHT

Temporary Data Engineer

Vancouver, WA

We are seeking a Temporary Data Engineer to support analysis and data-driven decision-making within a high-tech manufacturing environment. This role will focus on integrating and analyzing data from ...

Pwc

Data Governance- Manager

Portland, OR

$99K - $232K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Concora Credit Inc.

Sr. Data Operations Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Manage and monitor ETL/ELT pipelines, analytics reporting jobs, ML workflows across Azure services ... Partner with data engineers, ML engineers, and BI engineers to troubleshoot issues, implement ...

Concora Credit Inc.

Sr. Data Operations Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Manage and monitor ETL/ELT pipelines, analytics reporting jobs, ML workflows across Azure services ... Partner with data engineers, ML engineers, and BI engineers to troubleshoot issues, implement ...

Concora Credit Inc.

Sr. Data Operations Engineer

Beaverton, OR · On-site

$119K - $143K/yr

Manage and monitor ETL/ELT pipelines, analytics reporting jobs, ML workflows across Azure services ... Partner with data engineers, ML engineers, and BI engineers to troubleshoot issues, implement ...

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Showing results 21-40

All JobsData Engineer Sports Analytics JobsData Engineer Sports Analytics Jobs in Portland, OR

Data Engineer Sports Analytics information

See Portland, OR salary details

$47.2K

$137.6K

$188.2K

How much do data engineer sports analytics jobs pay per year?

As of Aug 12, 2026, the average yearly pay for data engineer sports analytics in Portland, OR is $137,565.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,400.00 and $145,800.00 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 Portland, OR? For Data Engineer Sports Analytics jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Data Engineer Sports Analytics jobs in Portland, OR look for? The top searched job categories for Data Engineer Sports Analytics jobs in Portland, OR are:
Data Engineer Sports Analytics jobs near you
Infographic showing various Data Engineer Sports Analytics job openings in Portland, OR 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, with an average salary of $137,565 per year, or $66.1 per hour.

Sr. Data Engineer

BizTek People, Inc. | APA International Placement Consultants

Beaverton, OR • On-site

$120K - $145K/yr

Contractor

Re-posted 29 days ago

Job description


Requirements
Required Technical Skills:
• BS in Computer Science, or related technical discipline
• 3+ years industry experience in gathering and documenting technical requirements for data imports and exports
• Strong skills in troubleshooting issues and finding root causes
• Expert ability to communicate in writing and verbally with technical and non-technical teams
• Experience with database systems, SQL, and SQL Analytical functions
• Comfortable with basic SQL commands (selecting, joining tables, type-1 vs type-2 updates)
• Comfortable reading SQL query code to understand selection logic
• Ability to troubleshoot SQL queries and their output
Required Soft Skills:
• Ability to work collaboratively to work collaboratively with multiple teams and business stakeholders of varying technical ability
• Demonstrated ability to deliver results on multiple projects in a fast-paced, agile environment
• Excellent problem-solving skills
• Strong desire to learn and share knowledge with others
• Passionate about data integrity and striving for excellence
Preferred Skills:
• AWS Cloud Concepts
• Basic Python programming skills
• Call center data experience
• Experience with data warehouse design (e.g., star schemas)
• Experience with workflow orchestration tools (like Apache Airflow) and/or orchestration concepts
• Experience in Agile/Scrum application development using JIRA
Role responsibilities:
• Troubleshoot production issues with data flow and quality using ad hoc SQL queries
• Help manage Kaban board and production intake tickets
• Meet with stakeholders to understand data requirements and document those findings
• Understand technical requirements and be able to translate that into technical work
• Assist as needed in forming a data flow solution that will serve the stakeholder's data needs
• Work with engineering leads and other teams to ensure quality solutions are implemented and engineering best practices are adhered to
• Recommend long term solutions to issues found
• Attend production support meetings and communicate issue status

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