ZipRecruiter

Log In

1

Data Engineer Sports Analytics Jobs in Bothell, WA

Meta

Data Engineer, Product Analytics

Seattle, WA · On-site +1

$177K/yr

Data Engineer, Product Analytics Responsibilities: * Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs ...

Meta

Data Engineer, Product Analytics

Bellevue, WA · On-site +1

$177K/yr

Data Engineer, Product Analytics Responsibilities: * Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs ...

Meta

Data Engineer, Product Analytics

Bellevue, WA · On-site +1

$147K/yr

Data Engineer, Product Analytics Responsibilities: * Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs ...

Meta

Data Engineer, Product Analytics

Redmond, WA · On-site +1

$147K/yr

Data Engineer, Product Analytics Responsibilities: * Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs ...

Staffingine LLC

Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Job Title: Data Engineer Job Location: Redmond WA Job Type: Contract * Design, develop, and ... Work with large-scale data lake and data warehouse solutions using Azure Synapse Analytics and ...

Dlapiper

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Work cross-functionally with engineers, analysts, and stakeholders to understand requirements and deliver data solutions that support sprint-based delivery. * Support pod-level delivery by producing ...

Sono Bello

Data Engineer

Bellevue, WA · Hybrid

$125K - $140K/yr

Optimize data models for analytics, reporting, and machine-learning workloads. * Implement CI/CD workflows (Git, Azure DevOps) and automated testing for code deployments. * Monitor pipeline ...

Staffingine LLC

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Data Engineer Location: Bellevue, WA Job Type: Onsite/Remote: Hybrid * Experience in Synapse with ... Should have good analytical thinking and problem-solving skills * Good communication and ...

Amazon

Data Engineer, Partner Experience

Seattle, WA

$130K - $156K/yr

... sports - including Amazon MGM Studios-produced series and movies; licensed fan favorites; and ... PCF Data fulfills the data and analytics needs for the PCF organization by building scalable data ...

Shannon & Wilson Inc

Data Engineer

Seattle, WA · On-site

$90K - $120K/yr

... data platforms and analytics capabilities to support better decision-making and operational ... We are seeking a Data Engineer to manage, optimize, and evolve our new Microsoft-based data ...

Shannon & Wilson Inc

Data Engineer

Seattle, WA · On-site

$90K - $120K/yr

... data platforms and analytics capabilities to support better decision-making and operational ... We are seeking a Data Engineer to manage, optimize, and evolve our new Microsoft-based data ...

Amazon

Data Engineer, Partner Experience

Seattle, WA · On-site

$130K - $156K/yr

Prime Video offers customers a vast collection of movies, series, and sports available on hundreds ... analytics product replacing the existing VC and PVD reporting systems. You will design and ...

Amazon

Data Engineer, Partner Experience

Seattle, WA

$130K - $156K/yr

... sports - including Amazon MGM Studios-produced series and movies; licensed fan favorites; and ... PCF Data fulfills the data and analytics needs for the PCF organization by building scalable data ...

Shannon & Wilson, Inc.

Data Engineer

Seattle, WA · On-site

$90K - $120K/yr

Strong collaboration skills - able to work with project managers, analysts, and IT staff ... Data Engineer typically would be placed at a Shannon & Wilson Professional I, II, III, or IV level ...

Staffingine LLC

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Data Engineer Job Location: Bellevue - Washington Job Type: Contract to Hire * Design build and ... Collaborate with data scientists analysts and business stakeholders to understand data requirements ...

Amazon

Data Engineer, Partner Experience

Seattle, WA · On-site

$130K - $156K/yr

... sports - including Amazon MGM Studios-produced series and movies; licensed fan favorites; and ... PCF Data fulfills the data and analytics needs for the PCF organization by building scalable data ...

Booz Allen Hamilton, Inc.

Data Engineer

Bremerton, WA · On-site

$77K - $176K/yr

Share Data Engineer The Opportunity : Ever-expanding technology like IoT, machine learning, and ... You'll use your experience in analytical exploration and data examination while you manage the ...

Sono Bello

Data Engineer

Bellevue, WA · On-site

$125K - $140K/yr

Optimize data models for analytics, reporting, and machine-learning workloads. * Implement CI/CD workflows (Git, Azure DevOps) and automated testing for code deployments. * Monitor pipeline ...

Booz Allen Hamilton, Inc.

Data Engineer

Bremerton, WA · On-site

$77K - $176K/yr

Data Engineer The Opportunity : Ever-expanding technology like IoT, machine learning, and ... You'll use your experience in analytical exploration and data examination while you manage the ...

Booz Allen Hamilton

Data Engineer

Bremerton, WA · On-site

$77K - $176K/yr

Data Engineer The Opportunity : Ever-expanding technology like IoT, machine learning, and ... You'll use your experience in analytical exploration and data examination while you manage the ...

next page

Showing results 1-20

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 Jun 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, 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 Sports Analytics jobs near you
Data Engineer, Product Analytics

Data Engineer, Product Analytics

Meta

Seattle, WA • On-site, Remote

$177K/yr

Full-time

Posted 23 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

122nd of 190 rated software companies

Job description

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a strong focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Data Engineer, Product Analytics Responsibilities:
  • Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
  • Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve
  • Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights visually in a meaningful way
  • Define and manage Service Level Agreements for all data sets in allocated areas of ownership
  • Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership
  • Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
  • Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
  • Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
  • Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
  • Influence product and cross-functional teams to identify data opportunities to drive impact
  • Mentor team members by giving/receiving actionable feedback

Minimum Qualifications:
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 7+ years of experience where the primary responsibility involves working with data. This could include roles such as data analyst, data scientist, data engineer, or similar positions
  • 7+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala or others.)

Preferred Qualifications:
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$177,000/year to $247,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

What Meta employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply