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Data Engineer Sports Analytics Jobs in Oregon (NOW HIRING)

Overview LMI seeks an experienced Data Engineer to support the U.S. Army's Holistic Health ... sports scientists, data scientists, and software teams to translate analytic and research ...

$114K - $137K/yr

The Data Engineer designs and builds secure Power BI semantic models for consumption by analysts and decision-makers, ensuring consistent and governed access to enterprise data. This role also ...

$78K - $120K/yr

Overview The Data Engineer is responsible for architecting, developing, and maintaining scalable ... The role includes performing data gap analysis, developing and maintaining a semantic layer, and ...

Data engineer

Beaverton, OR · On-site

$120K - $144K/yr

... analytics to enable users to better understand and assess impacts of key business drivers on financial results. Minimum Qualifications • 5+ years working as data engineer / database developer ...

Data Engineer

$90K - $135K/yr

Conduct exploratory data analysis, identify patterns, trends, and outliers, and translate complex ... Collaborate with the engineering team to integrate analytical solutions into production systems.

Data Engineer

Newberg, OR · On-site

$120K - $144K/yr

Work with data and analytics experts to strive for superior functionality in our data systems ... Engineering, Data Architecture, Data Analytics and Science. * Good understanding of data ...

OR

$114K - $137K/yr

As a senior technical expert, you will collaborate cross-functionally with engineering, analytics, and product teams to design data systems that are secure, efficient, and cost-effective. You will ...

Sr. Data Analytics Engineer

OR · On-site +1

$125K - $165K/yr

As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high-quality data models, and enable automation that supports advanced analytics and AI use cases. You will ...

Data Engineer

OR · Remote

$120K - $150K/yr

... analytics, and business decision-making across Fieldwire. You will work closely with Data Insights ... our next Data Engineer to have the following skills and experiences Core qualifications and ...

New

OR · On-site

$80K - $180K/yr

Data-driven decision making is an increasingly important part of our company culture, and our Data Analytics team provides the tools to make it happen. As part of this team, developers are ...

Data Engineer

Newberg, OR · On-site

$120K - $144K/yr

The Data Engineer(s) will support our software developers, data architect, and data analysts on ... Work with data and analytics experts to strive for superior functionality in our data systems.

Sr. Data Engineer

OR · On-site +1

$100K - $150K/yr

As an accomplished data engineer joining the Data & Analytics team, this is a terrific opportunity to become part of a fast-growing, revolutionary fintech company shaping the future of retail futures ...

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 ...

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Showing results 1-20

Data Engineer Sports Analytics information

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.

How much do NFL data analysts make?

NFL data analysts typically earn between $60,000 and $100,000 annually, depending on experience, education, and the level of responsibility. These roles often require proficiency in data analysis tools, programming languages, and sports analytics knowledge. Salaries can vary based on the organization and geographic location.

Can a data analyst work in sports?

A data analyst can work in sports by analyzing player performance, game statistics, and team data to support decision-making. Skills in data visualization, statistical analysis, and tools like SQL and Python are commonly used in sports analytics roles. Transitioning to sports analytics often requires knowledge of the sport and relevant data sources.

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.

Do NFL teams hire data analysts?

Yes, NFL teams often hire data analysts and data engineers to analyze player performance, game strategies, and injury data. These roles typically require skills in data management, statistical analysis, and familiarity with sports analytics tools like R or Python. Data professionals help teams make data-driven decisions to improve performance and competitiveness.

Is 40 too late for data science?

For a Data Engineer in sports analytics, starting a career at 40 is feasible, especially with relevant skills in programming, data management, and analytics tools. Many professionals transition into data roles later in life, and experience in related fields can be an advantage. Continuous learning and certifications can help accelerate entry into the field regardless of age.
What are popular job titles related to Data Engineer Sports Analytics jobs in Oregon? For Data Engineer Sports Analytics jobs in Oregon, the most frequently searched job titles are:
What cities in Oregon are hiring for Data Engineer Sports Analytics jobs? Cities in Oregon with the most Data Engineer Sports Analytics job openings:

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

MDAEdge

Beaverton, OR • On-site

Full-time

Posted 26 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.