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Data Engineer Sports Analytics Jobs in Portland, OR

Concora Credit Inc.

Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

This role goes beyond traditional data engineering and focuses on building and governing scalable data solutions that enable analytics, machine learning, AI, and Business Intelligence across the ...

Concora Credit Inc.

Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

This role goes beyond traditional data engineering and focuses on building and governing scalable data solutions that enable analytics, machine learning, AI, and Business Intelligence across the ...

Concora Credit Inc.

Data Engineer

Beaverton, OR

$119K - $143K/yr

This role goes beyond traditional data engineering and focuses on building and governing scalable data solutions that enable analytics, machine learning, AI, and Business Intelligence across the ...

Concora Credit Inc.

Data Engineer

Beaverton, OR

$119K - $143K/yr

This role goes beyond traditional data engineering and focuses on building and governing scalable data solutions that enable analytics, machine learning, AI, and Business Intelligence across the ...

Nike

Lead Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

LEAD, DATA ENGINEER - NIKE [Beaverton, OR - USA] WHO YOU'LL WORK WITH Consumer Product and Innovation (CP&I) Data and Analytics Engineering sits at the intersection of product innovation and ...

Pwc

Data Engineer - Manager

Portland, OR · On-site

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Pwc

Data Engineer - Senior Associate

Portland, OR · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

A-dec, Inc.

Data Engineer, Staff

Newberg, OR · On-site

$120K - $144K/yr

Overview The Staff Data Engineer independently plans, schedules, and leads data, analytics, and business intelligence projects of moderate scope or portions of major large-scale projects, and ...

Pwc

Data Engineer - Senior Manager

Portland, OR · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

A-dec, Inc.

Data Engineer, Staff

Newberg, OR · On-site

$120K - $144K/yr

Overview The Staff Data Engineer independently plans, schedules, and leads data, analytics, and business intelligence projects of moderate scope or portions of major large-scale projects, and ...

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 · On-site

$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 ...

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Showing results 1-20

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.

Lead Data Analyst (SQL, Python, Tableau, PowerBI)

MDAEdge

Beaverton, OR • On-site

Full-time

Re-posted 21 days ago

Job description

Job Summary:
MDAEdge is seeking a highly technical and self-motivated Lead Data Analyst with strong data storytelling skills to develop end-to-end reporting solutions for a global sports initiative. The role involves working closely with product engineering, supply chain, and manufacturing teams to design scalable data workflows and business dashboards that drive data-informed decision-making.
Responsibilities:
• Lead the design and development of end-to-end reporting and analytics solutions.
• Build and maintain ETL pipelines to enable data ingestion, enrichment, and transformation.
• Design and implement data ingestion processes, including handling user-managed files such as Excel.
• Develop and maintain interactive dashboards and reports using Tableau or Power BI.
• Collaborate with engineering and supply chain teams to define and refine data requirements.
• Translate complex technical data into clear insights for executive stakeholders.
• Ensure accuracy, accessibility, and timely delivery of all reporting outputs.
• Support Agile/Scrum-based project execution and data-driven decision-making.
Qualifications:
Required:
• Bachelor's degree preferred
• 8+ years of experience as a Data Analyst or Data Engineer
• Strong proficiency in SQL and Python
• Expertise with Power BI or Tableau for data visualization
• Experience with Data Lakehouse platforms (Databricks, Snowflake, etc.)
• Experience working within supply chain or manufacturing environments
• Excellent communication skills and ability to translate technical insights for business leaders
• Strong problem-solving ability and business acumen
Preferred:
• Experience with cloud platforms (Azure, AWS, or GCP)
• Knowledge of CI/CD pipelines for data workflows
• Background in sports analytics or event-based reporting
• Experience collaborating across global, cross-functional teams
• Ability to showcase prior visualization projects via a public portfolio (e.g., Tableau Public)
Company:
The world doesn't have a talent shortage. It has a talent alignment problem. MDA Edge exists to fix that. Founded in , the company is headquartered in Sheridan, WY, US, , with a team of 51-200 employees. The company is currently Growth Stage.

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