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← MrBeast

Data Engineer

MrBeast
Location
Primary: Bay Area (San Francisco/Peninsula)
Posted
19 days ago
Department
Engineering
What they actually want (must-haves)
  • 3+ years building and operating production data pipelines for high-volume consumer products
  • Hands-on experience in event instrumentation, schema design, and data quality at scale
  • Strong experience with streaming and batch data pipelines
  • Experience with event-driven architectures
  • Familiarity with at least one major cloud data stack (AWS, GCP, Databricks, Snowflake, or equivalent)
  • Ability to translate vague requirements into robust pipeline design
Nice to have
  • Experience in consumer products, media, gaming, or ads
  • Familiarity with sessionization and identity stitching at scale
  • Prior work alongside data science or product analytics teams
  • Experience using AI tools in data engineering workflows
What the job really is

As a Data Engineer at Beast Industries, you will be responsible for building and operating data pipelines that support both operational telemetry and analytics for various products. Your role involves ensuring real-time data freshness and reliability, translating vague requirements into robust pipeline designs, and embedding AI tools into the data engineering workflow. You will collaborate with data science, product, and SRE teams to create a data infrastructure that informs product decisions across a large user base.

Benefits
  • Highly competitive equity package
  • Hybrid model with expected ~3 days per week in-office
  • Competitive salary
  • Generous medical, dental, vision, and company-paid life insurance
  • Company contributions to employee Health Savings Accounts (HSA)
  • 401k plan with Safe Harbor company-matching
Things to weigh
  • No specific salary listed
  • The role involves building from scratch with no legacy constraints, which may be appealing for those looking for innovation but could also mean initial challenges in establishing processes
  • The emphasis on AI tooling suggests a modern approach but may require candidates to be adaptable to new technologies
  • The hybrid work model may not suit everyone, especially those preferring fully remote roles
Job score3.8/5
Benefits5/5
Freshness4/5
Career value5/5
Role clarity5/5
Pay transparency0/5

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