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Data Engineer Sports Analytics Jobs in Oregon (NOW HIRING)

OR

$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

OR · On-site +1

$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 ...

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 ...

$160K/yr

Our client, a rapidly growing wealth management and financial services firm, is seeking a Data Engineer to join its expanding data and analytics team. This role will be responsible for designing ...

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 ...

Data Engineer (L5)

OR · On-site +1

$380K - $610K/yr

Data Engineering at Netflix is a role that requires building systems to process data efficiently and modeling the data to power analytics. These solutions can range from batch data pipelines that ...

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 ...

Data Engineer, Staff

Newberg, OR

$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 ...

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 ...

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 ...

$114K - $137K/yr

Overview LMI is seeking a skilled Data Engineer to join our team and contribute to developing ... Translate complex data science and analytics outputs into governed, reusable data products surfaced ...

$100K - $136K/yr

The Senior Data Engineer will report directly to the Senior Vice President of Enterprise ... Architect scalable ETL/ELT pipelines to efficiently transform raw data into structured, analytics ...

Data Engineer (GovCon; Public Trust)

OR · On-site +1

$114K - $137K/yr

The Data Engineer will partner with other Data Engineers to evaluate and prototype new tools and ... Design and optimize analytical data platforms using Amazon Athena, Trino, Hive, OpenSearch, and ...

$114K - $137K/yr

We are seeking a talented Data Engineer with strong communication skills, passion for solving ... Build, maintain, and deploy data products for analytics and data science teams on cloud platforms ...

$114K - $137K/yr

We are seeking a talented Data Engineer with strong communication skills, passion for solving ... Build, maintain, and deploy data products for analytics and data science teams on cloud platforms ...

Senior Data Engineer

OR · On-site +1

$105K - $143K/yr

Support the analytics layer by developing core Looker views and building out our agentic AI ... Experience: 5+ years in data engineering, with at least 2+ years focused on distributed, large ...

Senior Data Engineer

OR · On-site +1

$142K - $160K/yr

Partner with Architects, Product Owners, Business Analysts, and Data Scientists. * Participate in ... Drive engineering best practices across the organization. Required Qualifications * Bachelor ...

Sr Data Engineer

Beaverton, OR · On-site

$120K - $145K/yr

... analysts, and business partners using Agile / Scrum methodology · Contribute to overall ... in engineering · Implement distributed data processing pipelines using tools and languages ...

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Showing results 21-40

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.

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 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:

Infographic showing various Data Engineer Sports Analytics job openings in Oregon 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.

$80K - $180K/yr

Full-time

Re-posted 29 days ago


Job description

At Grant Street Group, we build highquality software and provide uncompromising support for tax collection, electronic payments, and auctions, helping government agencies work better and deliver reliable, efficient services.
 
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 responsible for building and supporting high performance data solutions, monitoring and responding to our growing network of tools, and facing and overcoming complex technical challenges. We are looking for a data engineer who has a strong technical background and interest in ETL processes and data warehousing.
Some qualities we think would make you a good fit:
  • You enjoy a variety of work: You're bored by a work environment where every day is the same and the steps are all laid out for you. You'd much prefer a variety of challenging work and ownership over the solution. You love getting to the root of the issue, whether it's an application error or a client request.
  • You develop with the end user's needs in mind: You set up tools to maximize value and minimize headaches for the people who use them. You also develop solutions with an end goal in mind, and build products for the long-term.
  • You take responsibility for your solutions: You're comfortable supporting the tools and pipelines you build, monitoring them in production, and troubleshooting issues when they arise.
  • You love working in a team: You will work in a small but mighty team in charge of the entire data and business intelligence lifecycle. You'll collaborate with your team members as well as our product teams to create a great experience for our users.
Some technical experience we would like you to have or be able to get up to speed with quickly:
  • Strong SQL, including data modeling concepts and ETL best practices 
  • Solid programming skills in Python or Go, and willingness to learn other languages as needed (Groovy, Perl) 
  • Experience with cloudbased data engineering (AWS, GCP) 
  • Experience with tools for largescale data migration (Databricks) 
  • TechOps skills that help you support analytics tools, patch and update platforms, and troubleshoot system issues or failures 
  • Comfort with the Linux command line and shell scripting
Lastly...
 
There is minimal travel: 1-3 weeks per year for on-site meetings. If you live (or want to) in Pittsburgh, you can work in our downtown headquarters.
 
We reward teamwork, professional excellence, and individual responsibility. Using the best collaboration tools available, we offer a technology-rich work environment that makes it possible for us to support on-site and telecommuting positions tailored to the needs of our employees. If you are passionate about your work, you have entrepreneurial spirit and you want to be on a team of exceptional professionals, then maybe Grant Street is for you!
 
Expected Salary Range: $80,000 - $180,000/year
 
 
Recruitment Fraud Warning:
It has come to our attention that various individuals have been posing as Grant Street Group employees and contacting job seekers to schedule interviews and/or complete pre-interview screening questions.
All legitimate Grant Street Group positions require completing an application on our website before an interview. When you are contacted by Grant Street Group, all correspondence will come from an email address ending in "@grantstreet.com".
The hiring process usually takes several weeks and begins with a phone or video interview. Grant Street Group will not ask you to use any platform other than Google Meet or Zoom to conduct an interview. We will not ask you to make payments or to provide your date of birth, social security number, or banking details during the interview process.
If you believe you have been a victim of recruiting fraud concerning Grant Street Group, please contact us at [email protected]. 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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