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Sr. Data Engineer, App

MrBeast· Engineering
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Hybrid (San Francisco Bay Area)full-timePosted 1mo ago

About the role

Senior data engineer focused on building and operating the telemetry and analytics data pipelines powering Beast Industries’ AI-first data platform for real-time monitoring, analytics, and experimentation across consumer products, media, gaming, and e-commerce.

Responsibilities

  • 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.]
  • qualifications []
  • benefits[]
  • domains=[{"name":"Data Platform","description":"Development and operation of production data pipelines for telemetry and analytics across multiple products.","categories":["ai/ml","data engineering"],"stage":"production"}]
  • skills=[{"name":"AI-native tooling","description":"Experience using AI tools to accelerate pipeline development and data quality monitoring.","category":"soft","requirement":"required","proficiency_level":"intermediate"}, {"name":"Production data pipelines","description":"5+ years building and operating high-volume production data pipelines with event instrumentation, schema design, and data quality at scale.","category":"technical","requirement":"required","proficiency_level":"expert","yoe":{"value":5}}, {"name":"Streaming and batch data","description":"Strong experience with streaming and batch data pipelines, event-driven architectures.","category":"technical","requirement":"required","proficiency_level":"expert"}]
  • tech_stacks=[{"name":"AWS / GCP / Databricks / Snowflake","description":"Major cloud data stack experience; preferred platforms include AWS, GCP, Databricks, Snowflake.","category":"cloud","area":"infra","importance":"primary"}]
  • locations=[{"description":"San Mateo, CA (hybrid) - expected ~3 days in-office per week","location_type":"hybrid","location":"San Mateo, CA","onsite_days_per_week":3,"weekdays":[1,2,3]}],
  • compensations=[{"description":"Base salary range","compensation_type":"base","min":178000,"max":223000,"unit":"USD","period":"year"}] } {

Qualifications

  • 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.

Skills

Required:Telemetry data pipeline designAnalytics data pipelineEvent instrumentationSchema designData quality checksDeduplicationLate-arriving event handlingIdentity stitchingAI tooling

Benefits

  • Equity: Highly competitive equity package designed for a foundational hire.
  • Hybrid Model: Expected ~3 days per week in-office (SF Bay Area).
  • 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
Last updated Sep 26, 2026. Interested? Apply on the company site.

About MrBeast

We do the impossible.

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