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Data Engineer Sports Analytics Jobs in Bothell, WA

Data Engineer (MedInsight)

Seattle, WA · On-site +1

$93K - $177K/yr

MedInsight's engineering team is building the next generation of healthcare data analytics. We are ... Analyze and improve data intake processes and optimize SparkSQL/Python workloads for performance ...

Data engineer

Bellevue, WA · On-site

$129K - $155K/yr

Demonstrate deep knowledge of the data engineering domain to build and support non-interactive ... Strong analytical and design skills. Skills: SPARK , PYSPARK , JUPYTER

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Demonstrate deep knowledge of the data engineering domain to build and support non-interactive ... Perform root cause analysis to identify permanent resolutions to software or business process ...

AI Data Engineer 3

Redmond, WA

$128K - $154K/yr

This opportunity is expected to focus on enterprise data engineering, cloud-based analytics infrastructure, ETL/ELT development, and AI/ML-driven data initiatives supporting large-scale business ...

AI Data Engineer 3

Redmond, WA · On-site

$128K - $154K/yr

This opportunity is expected to focus on enterprise data engineering, cloud-based analytics infrastructure, ETL/ELT development, and AI/ML-driven data initiatives supporting large-scale business ...

Data Engineer IV

Seattle, WA · On-site

$130K - $156K/yr

The Data Engineer IV is a senior member of the Office of the Chief Data Office (OCDO) Data ... Lead the research, design, and development of data solutions to address analytical, research, and ...

Data Engineer

Bellevue, WA · Remote

$117K - $140K/yr

Data Engineer Location: Bellevue, WA. (Remote) Mandatory Skills: Vectr and Cribl 8+ years of ... Write and optimize SQL queries and stored procedures for data transformation and analysis.

Data Engineer

Bellevue, WA · On-site

$130K - $150K/yr

The repetitive "pull-a-report, answer-a-question" work that used to consume analyst teams is being ... The Data Engineers will sit at the heart of this transformation. The engineer is the business ...

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Need a Data engineer who has the following skills Its a Individual contributor role * Design and ... Leverage Kusto Azure Data Explorer for interactive data exploration and analysis to support ...

... sports - including Amazon MGM Studios-produced series and movies; licensed fan favorites; and ... Build a scalable and reliable data platform supporting analytics and experimentation for intuitive ...

Data Engineer, SPTC

Seattle, WA · On-site

$130K - $156K/yr

We are looking for an exceptional data engineer to help us develop new ways to build trust and ... They are analytical and creative, and don't quit. This is a role with high visibility to senior ...

Data Engineer II, Prime Video Advertising

Seattle, WA · On-site

$130K - $156K/yr

... sports - including Amazon MGM Studios-produced series and movies; licensed fan favorites; and ... Build a scalable and reliable data platform supporting analytics and experimentation for intuitive ...

Data Engineer III

Seattle, WA · On-site

$130K - $156K/yr

Amazon.com is looking for a Data Engineer to join the Infrastructure Automation team. Amazon.com ... analysis, machine learning models and ad-hoc data requests. You should have excellent business and ...

Data Engineer, SPTC

Seattle, WA · On-site

$130K - $156K/yr

We are looking for an exceptional data engineer to help us develop new ways to build trust and ... They are analytical and creative, and don't quit. This is a role with high visibility to senior ...

AI Data Engineer 3

Redmond, WA · On-site

$74.74 - $83.04/hr

We are seeking a talented Analytics Engineer to join a dynamic Player and Data Analytics team. In this role, you will be instrumental in building robust data pipelines, crafting sophisticated data ...

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Showing results 1-20

Data Engineer Sports Analytics information

See Bothell, WA salary details

$49.7K

$145K

$198.4K

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

As of Jun 18, 2026, the average yearly pay for data engineer sports analytics in Bothell, WA is $145,008.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,000.00 and $153,700.00 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, 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.
What are popular job titles related to Data Engineer Sports Analytics jobs in Bothell, WA? For Data Engineer Sports Analytics jobs in Bothell, WA, the most frequently searched job titles are:
What job categories do people searching Data Engineer Sports Analytics jobs in Bothell, WA look for? The top searched job categories for Data Engineer Sports Analytics jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Data Engineer Sports Analytics jobs? Cities near Bothell, WA with the most Data Engineer Sports Analytics job openings:
Data Engineer (MedInsight)

Data Engineer (MedInsight)

Milliman

Seattle, WA • On-site, Remote

$93K - $177K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Job description

Individual(s) must be legally authorized to work in the United States without the need for immigration support or sponsorship from Milliman now or in the future.  

Company Overview: 

Leading with our core values of Quality, Integrity, and Opportunity, MedInsight is one of the healthcare industry’s most trusted solutions for healthcare intelligence.Our company purpose is to empower easy, data-driven decision-making on important healthcare questions. Through our products, education, and services, MedInsight is making an impact on healthcare by helping to drive better outcomes for patients while reducing waste. Over 300 leading healthcare organizations have come to rely on MedInsight analytic solutions for healthcare cost and care management. MedInsight has been ranked #1 for Payer Quality Analytics by clients for the last three years in the Best in KLAS report.  

MedInsight is a subsidiary of Milliman; a global, employee-owned consultancy providing actuarial consulting, retirement funding and healthcare financing, enterprise risk management and regulatory compliance, data analytics and business transformation as well as a range of other consulting and technology solutions. 

Position Summary: 

MedInsight’s engineering team is building the next generation of healthcare data analytics. We are seeking a skilled and driven Data Engineer to design, build, and optimize scalable data solutions that power healthcare insights at scale. This role is ideal for someone with experience in modern data platforms, including Databricks, Spark, and cloud technologies, who is eager to take ownership of complex data engineering initiatives and contribute to the evolution of our data ecosystem.

Primary Responsibilities: 

  • Build & Enhance Pipelines: Design, develop, and maintain scalable data pipelines to ingest, transform, and enrich complex healthcare data using Databricks and Spark.
  • Optimize Data Workflows: Analyze and improve data intake processes and optimize SparkSQL/Python workloads for performance, scalability, reliability, and cost efficiency.
  • Design Data Models: Develop and maintain data marts, semantic models, and curated datasets that support analytics products, reporting, and business intelligence initiatives.
  • Ensure Data Quality & Reliability: Monitor pipeline health, troubleshoot production issues, implement data validation frameworks, and maintain high standards for data quality and governance.
  • Collaborate Across Teams: Partner with product, analytics, and engineering teams to understand business requirements and deliver scalable data solutions.
  • Drive Continuous Improvement: Contribute to architecture decisions, engineering standards, automation efforts, and best practices across the data platform.

Required Qualifications:

  • Bachelor's degree in computer science, engineering, information systems, or related field; or equivalent practical experience.
  • 3+ years of experience in data engineering, software engineering, or a related technical field.
  • Strong proficiency in SQL and Python, with experience developing and maintaining production-grade data pipelines.
  • Experience working with large-scale data processing frameworks such as Apache Spark.
  • Strong understanding of relational databases, data modeling, ETL/ELT patterns, and data engineering best practices.
  • Experience troubleshooting and optimizing data workflows for performance and reliability.
  • Strong problem-solving skills, ownership mindset, and ability to collaborate effectively across technical teams.

Preferred Skills:

  • Experience with Databricks in a production environment.
  • Experience building Power BI Semantic Models and supporting analytics use cases.
  • Experience working with Azure or AWS cloud platforms.
  • Familiarity with data orchestration and workflow management tools.
  • Familiarity with AI-assisted development tools, such as Claude Code.
  • Experience working with healthcare data domains such as claims, EMR/EHR, provider, or payer data.
  • Experience mentoring junior engineers or providing technical guidance on projects.

Location

This role can be remote within the U.S. The expected application deadline for this job is July 15, 2026.

Compensation

The overall salary range for this role is $93,700 - $177,675. For candidates residing in:

  • Alaska, California, Connecticut, Illinois, Maryland, Massachusetts, New Jersey, New York City, Pennsylvania, Virginia, Washington, or the District of Columbia the salary range is $107,755 - $177,675.
  • All other locations the salary range is $93,700 - $154,500.

A combination of factors will be considered, including, but not limited to, education, relevant work experience, qualifications, skills, certifications, etc.

What makes this a great opportunity? 

  • Join an innovative, high growth company with a solid industry track record
  • Bring your expertise and ideas to directly impact and help build the next generation of MedInsight products and solutions
  • Enjoy significant visibility in your work and be recognized for your wins
  • Work for a company that values your wellbeing and professional growth, offering a flexible work environment, generous benefits package, and investment in the development of your career

Benefits 

We offer a comprehensive benefits package designed to support employees’ health, financial security, and well-being. Benefits include:

  • Medical, Dental and Vision – Coverage for employees, dependents, and domestic partners
  • Employee Assistance Program (EAP) – Confidential support for personal and work-related challenges
  • 401(k) Plan – Includes a company matching program and profit-sharing contributions.
  • Discretionary Bonus Program – Recognizing employee contributions
  • Flexible Spending Accounts (FSA) – Pre-tax savings for dependent care, transportation, and eligible medical expenses
  • Paid Time Off (PTO) – Begins accruing on the first day of work. Full-time employees accrue 15 days per year, and employees working less than full-time accrue PTO on a prorated basis
  • Holidays – A minimum of 10 paid holidays per year
  • Family Building Benefits – Includes adoption and fertility assistance
  • Paid Parental Leave – Up to 12 weeks of paid leave for employees who meet eligibility criteria
  • Life Insurance & AD&D – 100% of premiums covered by Milliman
  • Short-Term and Long-Term Disability – Fully paid by Milliman

Equal Opportunity

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability, or status as a protected veteran.

#LI-SM1

#LI-REMOTE


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About Milliman

Sourced by ZipRecruiter

Milliman delivers market-leading services and solutions to clients worldwide. Today, we are helping companies take on some of the world's most critical and complex issues, including retirement funding and healthcare financing, risk management and regulatory compliance, data analytics and business transformation.

Industry

Business management consulting

Company size

1,001 - 5,000 Employees

Headquarters location

Seattle, WA, US

Year founded

1947