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Data Engineer Sports Analytics Jobs in Bothell, WA

InterSources Inc

Data Engineer

Bellevue, WA · On-site

$128K - $154K/yr

InterSources Inc is a company seeking a Senior Data Engineer to lead the architecture and ... teams to support analytics and compliance requirements. Responsibilities : • Lead the ...

Amazon

Data Engineer, WWASFT

Seattle, WA · On-site

$130K - $156K/yr

... analysis, machine learning models and ad-hoc data requests You will be exposed to all AWS big data ... developers and Business Intelligence Engineer to explore new data sources and deliver the data ...

New

Amazon

Data Engineer, WWASFT

Seattle, WA · On-site

$130K - $156K/yr

... analysis, machine learning models and ad-hoc data requests You will be exposed to all AWS big data ... developers and Business Intelligence Engineer to explore new data sources and deliver the data ...

New

Pwc

Data Engineer - Senior Manager

Seattle, WA · 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 ...

Deloitte

Data Engineer II

Bellevue, WA · On-site

$129K - $155K/yr

As an experienced Data Engineer , you will have the ability to share new ideas and collaborate on ... Work you'll do/Responsibilities As part of the Data & Analytics Foundry you will support numerous ...

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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 Sep 6, 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.

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.

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 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.

Data Engineer II, AWS Analytics Engineering

Amazon

Seattle, WA • On-site

$130K - $156K/yr

Full-time

Re-posted 16 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,154 frontline employees who took The Breakroom Quiz

5th of 39 rated national retailers

Job description

The AWS Analytics Engineering (AAE) organization is the analytics backbone of AWS - we build and operate the data platform that powers business decisions across more than 150 AWS services. Every insight surfaced to AWS product leadership, from service adoption trends to revenue drivers, flows through systems our team designs, builds, and maintains.
We operate at massive scale - processing petabytes of data daily through thousands of jobs consisting of transformations, reporting queries, ingestions, and infrastructure management scripts. As AWS launches new services and features at an accelerating pace, the need for a unified, self-service Data Ingestion Platform has become critical.
We are seeking a Data Engineer to join our Data Ingestion Platform team

In this role, you will design, build, and operate the next-generation ingestion service that automatically onboards data from any new AWS service or feature at launch - without manual intervention. You will build scalable ingestion frameworks capable of handling petabytes of data, implement big data procurement pipelines, and establish the governance, compliance, and audit controls that ensure every data flowing through the platform meets AWS's security and data integrity standards.
The platform you build must scale to N services - meaning that as AWS's service portfolio grows, your ingestion infrastructure grows with it. You will work on event-driven architectures, self-registration mechanisms, and configuration-driven onboarding so that new data sources are ingested automatically, reliably, and with full lineage and audit trails.
The ideal candidate is a strong engineer who is passionate about building platforms, thinks in terms of frameworks and abstractions rather than one-off pipelines, and is excited about building the foundational layer that enables all of AAE's analytics capabilities.

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About Amazon

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Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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