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Data Engineer Sports Analytics Jobs in Bothell, WA

Amazon

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 ...

Amazon

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 ...

Weekday AI

Data Engineer - Finance

Bellevue, WA

$60 - $85/hr

Strong analytical and problem-solving abilities with attention to data accuracy. * Experience ... This is a hands-on data engineering position focused on building and maintaining production data ...

Brillio

Lead Data Engineer - R01568940

Seattle, WA · On-site

$130K - $156K/yr

Lead Data Engineer Primary Skills * AKS, Event Hub, Azure DevOps, Cosmos DB, Azure Functions ... You will be working on large-scale lakehouse and warehouse analytics systems that process data ...

Ampcus Inc

Data Engineer IV

Seattle, WA · On-site

$130K - $156K/yr

We are looking for a Data Engineer to join the Infrastructure Automation team, responsible for delivering software that powers our infrastructure and supports analytic technologies for customer data ...

Brillio

Lead Data Engineer - R01568940

Seattle, WA

$125K/yr

Lead Data Engineer \\n Primary Skills * AKS, Event Hub, Azure DevOps, Cosmos DB, Azure Functions ... You will be working on large-scale lakehouse and warehouse analytics systems that process data ...

Pwc

Data Engineer - Manager

Seattle, WA · 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

Seattle, WA · 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 ...

Amazon

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 ... We own data platform, reporting, dashboards, measurement, and analytical solutions for PV Ads.

Amazon

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 ... We own data platform, reporting, dashboards, measurement, and analytical solutions for PV Ads.

Amazon

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 ... We own data platform, reporting, dashboards, measurement, and analytical solutions for PV Ads.

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Showing results 41-60

All JobsData Engineer Sports Analytics JobsData Engineer Sports Analytics Jobs in Bothell, WA

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 Aug 17, 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?

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 Sports Analytics jobs near you
Infographic showing various Data Engineer Sports Analytics job openings in Bothell, WA 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 $145,008 per year, or $69.7 per hour.

Snowflake Data Engineer / Data Migration Engineer

Conch Technologies Inc

Tukwila, WA • On-site

$129K - $155K/yr

Contractor

Re-posted 7 days ago

Job description

Snowflake Data Engineer / Data Migration Engineer

Location: Tukwila, WA (Hybrid)
Duration: 6+ Months
 

Note: w2 only No C2CJob Summary

We are seeking an experienced Snowflake Data Engineer / Data Migration Engineer to support the Finance Data Mart team in a large-scale migration initiative. The ideal candidate will have strong expertise in Snowflake, Azure Data Factory, SQL Server migrations, ETL development, and Power BI semantic models. This role requires hands-on experience with modern data engineering practices, CI/CD automation, and cloud-based analytics solutions.

Required Skills Snowflake Development
  • Strong hands-on experience with Snowflake development and administration.
  • Experience converting SQL Server T-SQL stored procedures and processes into Snowflake.
  • Expertise in translating SQL Server DDL objects to Snowflake.
  • Experience designing and developing migration frameworks for moving data from SQL Server to Snowflake.
  • Strong knowledge of data validation, reconciliation, and migration testing.
  • Experience optimizing Snowflake performance and query tuning.
 ETL & Data Integration
  • Experience converting SSIS packages into Azure Data Factory (ADF) pipelines.
  • Strong knowledge of Azure Data Factory setup and configuration for Development, Pre-Production, and Production environments.
  • Experience designing scalable and reusable ETL frameworks.
  • Knowledge of Apache Iceberg storage technology.
 Azure DevOps & CI/CD
  • Experience creating and maintaining Azure DevOps CI/CD release pipelines.
  • Experience automating deployments for data engineering solutions.
 Source Control
  • Strong experience with GitHub.
  • Knowledge of branching strategies, repository management, and deployment workflows.
  • Experience improving source control and DevOps processes.
 Analytics & Reporting
  • Experience developing and maintaining SSAS Cubes using Visual Studio.
  • Experience migrating SSAS Cubes or Semantic Models to Power BI Semantic Models.
  • Ability to validate migrated models and optimize performance.
 AI-Assisted Development
  • Experience using AI-powered development tools to improve productivity while maintaining coding standards.
  • Experience with Snowflake AI Migration (AIM) tools is a plus.
 Required Qualifications
  • Strong SQL Server and Snowflake development experience.
  • Experience with Azure Data Factory and cloud-based ETL development.
  • Strong understanding of data warehouse design and migration methodologies.
  • Experience with Azure DevOps, GitHub, and CI/CD best practices.
  • Excellent analytical, troubleshooting, and problem-solving skills.
  • Strong communication and collaboration skills.
 Preferred Qualifications
  • Experience with Apache Iceberg.
  • Experience with Power BI Semantic Models.
  • Familiarity with AI-assisted software development tools.
  • Experience working on enterprise-scale cloud migration projects.