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Game Data Engineer Jobs (NOW HIRING)

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

The work spans consumer products, media, gaming, and e-commerce, all sitting on top of a large and ... Partner with data science, product, and SRE stakeholders to translate requirements into pipeline ...

Data Engineer

Romeoville, IL · On-site

$116K - $140K/yr

... the game." - Greg Cohen, CEO At Magid, we're not just passionate about safety-we're passionate ... Job Summary The Data Engineer plays a crucial, cross-functional role here at Magid. This is a high ...

Operating at the intersection of gaming, technology, and user engagement, the platform enables ... As a Staff Engineer, Data Platform, you will serve as a key contributor for the data foundations.

THE GAME PLAN Everyone on our team has a part to play Architect High-Impact Data Systems * Design ... Drive Engineering Best Practices * Establish and enforce engineering best practices around code ...

THE GAME PLAN Everyone on our team has a part to play Architect High-Impact Data Systems * Design ... Drive Engineering Best Practices * Establish and enforce engineering best practices around code ...

THE GAME PLAN Everyone on our team has a part to play Architect High-Impact Data Systems * Design ... Drive Engineering Best Practices * Establish and enforce engineering best practices around code ...

THE GAME PLAN Everyone on our team has a part to play Architect High-Impact Data Systems * Design ... Establish and enforce engineering best practices around code quality, testing, documentation, and ...

Senior Data Engineer

Strongsville, OH · On-site

$97K - $132K/yr

Senior Data Engineer We are a Microsoft heavy organization looking to build out and modernize our ... types, a game room complete with table tennis, foosball, and video game systems. Also, some ...

Senior Data Engineer

Strongsville, OH

$97K - $132K/yr

Senior Data Engineer We are a Microsoft heavy organization looking to build out and modernize our ... types, a game room complete with table tennis, foosball, and video game systems. Also, some ...

Senior Data Engineer

Strongsville, OH · On-site

$97K - $132K/yr

Senior Data Engineer We are a Microsoft heavy organization looking to build out and modernize our ... types, a game room complete with table tennis, foosball, and video game systems. Also, some ...

Senior Data Engineer

Strongsville, OH · On-site

$97K - $132K/yr

We are seeking a Senior Data Engineer to help design, build, and establish the engineering ... types, a game room complete with table tennis, foosball, and video game systems. Also, some ...

Data Engineer

Romeoville, IL · Hybrid

$116K - $140K/yr

... the game." - Greg Cohen, CEO At Magid, we're not just passionate about safety-we're passionate ... Job Summary The Data Engineer plays a crucial, cross-functional role here at Magid. This is a high ...

Snowflake Data Engineer

$117K - $140K/yr

... gaming, sports and entertainment, foodservice, education, healthcare and financial services ... We are seeking a Snowflake Data & AI Engineer to design, build, and operationalize production-grade ...

... sports, gaming, and digital products. About the Work As a key member of our team, you will ... Partner with data engineers and platform teams to improve the reliability, scalability, and ...

Showing results 41-60

Game Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do game data engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for game data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What does a game data engineer do?

A Game Data Engineer designs, builds, and maintains the systems that collect, process, and analyze data generated by video games. They work closely with game developers, analysts, and designers to ensure that valuable gameplay and player data is captured efficiently and securely. Their work helps drive decisions about game mechanics, player engagement, and monetization strategies by providing actionable insights from large volumes of data.

What are the key skills and qualifications needed to thrive as a game data engineer, and why are they important?

To thrive as a Game Data Engineer, you need a strong background in computer science, data analysis, and programming languages such as Python or SQL, often supported by a relevant degree. Familiarity with big data tools like Hadoop or Spark, data visualization platforms, and experience with cloud services are typically required. Strong problem-solving abilities, communication skills, and attention to detail help you collaborate with game designers and developers to interpret and present actionable insights. These skills ensure accurate data-driven decision-making, supporting the optimization of gameplay and enhancing player experiences.

How do game data engineers typically collaborate with game designers and developers during a project?

Game Data Engineers work closely with both game designers and developers to ensure that game data—such as player statistics, in-game events, and analytics—are accurately captured and usable for design decisions. This collaboration often involves attending planning meetings, translating game requirements into data models, and building pipelines that support real-time analytics or A/B testing. Effective communication is key, as Game Data Engineers must understand gameplay mechanics while also providing technical guidance on data feasibility and optimization. This cross-functional teamwork helps create engaging player experiences and data-driven improvements in the game.

What are popular job titles related to Game Data Engineer jobs?

For Game Data Engineer jobs, the most frequently searched job titles are:

Infographic showing various Game Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer

San Francisco, CA • On-site

$134K - $162K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Key responsibilities

  • Own, build, and operate the telemetry data pipeline that supports real-time monitoring and operational health of production systems.

  • Own, build, and operate the analytics data pipeline that enables product and user experience analysis, including event instrumentation, schema design, and data quality checks.

  • Partner with stakeholders to translate requirements into pipeline design and embed AI tooling into the data engineering workflow.


Job description

About Us
Beast Industries is a multifaceted media and entertainment company founded by Jimmy Donaldson, popularly known as MrBeast, the most watched person in the world. Renowned for revolutionizing digital content creation, Beast Industries encompasses a diverse portfolio of ventures that extend far beyond its origins on YouTube. With a mission to entertain, inspire, and create significant social impact, Beast Industries operates across various domains including digital media, philanthropy, consumer products, and innovative business initiatives. At Beast Industries, we believe in the transformative power of digital media and its potential to entertain, educate, and effect positive change. Our commitment to innovation, creativity, and philanthropy drives us to explore new frontiers, create unforgettable experiences, and build a legacy that inspires future generations.
We're doing an AI-first engineering rebuild for a company that already has an audience of 100M+ people. This is a zero-to-one build with no legacy constraints. You're not here to maintain someone else's pipelines. You're here to build the data infrastructure that powers every product decision we make, from real-time telemetry that keeps our systems healthy to the analytics pipelines that tell us what our users actually want.
The Product
You'll own the event and data infrastructure that sits beneath everything: the pipelines, platforms, and tooling that turn raw user behavior into reliable, decision-ready data. The work spans consumer products, media, gaming, and e-commerce, all sitting on top of a large and fast-growing user base. That means:
Operational telemetry that keeps the platform healthy and a separate, well-designed analytics layer that powers product and business decisions.
A data platform that supports real-time monitoring, long-term metric tracking, and the experimentation infrastructure that every product iteration depends on.
Event pipelines that handle high-volume user events with the right instrumentation contracts, schema validation, deduplication, late-arriving event handling, and identity stitching.
What You'll Do
Own, build, and operate the telemetry data pipeline that powers SRE and operational monitoring, ensuring real-time data freshness, reliability, and observability across all production systems.
Own, build, and operate the analytics data pipeline that supports product and user experience analysis, including event instrumentation, schema design, data quality checks, deduplication, late-arriving event handling, and identity stitching at scale.
Partner with data science, product, and SRE stakeholders to translate requirements into pipeline design, including cases where the requirements are vague and need to be shaped before implementation.
Embed AI tooling into the data engineering workflow to accelerate pipeline development, data quality monitoring, and insight delivery.
Who You Are
AI-Native: You're already using AI tools daily to move faster, from writing pipeline code to diagnosing data quality issues.
Data Platform Builder: 3+ years building and operating production data pipelines for high-volume consumer products, with hands-on experience in event instrumentation, schema design, and data quality at scale.
Business Connected: You don't wait for a data scientist to tell you what the pipeline should do. You understand the product well enough to translate vague requirements into robust pipeline design, and you can tell the difference between what someone asked for and what they actually need.
Operational and Analytical Thinker: You understand that operational telemetry and analytics serve different purposes and require different approaches, and you design accordingly.
Strong experience with streaming and batch data pipelines, event-driven architectures, and at least one major cloud data stack (AWS, GCP, Databricks, Snowflake, or equivalent). Bonus points for experience in consumer products, media, gaming, or ads, familiarity with sessionization and identity stitching at scale, and prior work alongside data science or product analytics teams.
Benefits
Equity: Highly competitive equity package designed for a foundational hire.
Hybrid Model: Expected ~3 days per week in-office (SF Bay Area).
Benefits
The Perks, Why Work On the MrBeast Team
We are redefining what entertainment and storytelling look like at global scale. Every piece of content we publish reaches millions and influences culture in real time. This is your opportunity to lead the team that decides how those moments come to life across every screen.
  • Competitive Salary
  • Generous Medical (Blue Cross Blue Shield), Dental, Vision and company-paid Life Insurance
  • Company contributions to employee Health Savings Accounts (HSA)
  • 401k Plan with Safe Harbor company-matching
  • Flexible vacation policy and paid company holidays
  • Company-provided technology package
  • Relocation assistance where applicable, including travel and company-provided housing for the first 90 days