Senior Data Engineer

Mrbeastyoutube; San Mateo (CA); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Equity

Hybrid model

Competitive salary

Health, dental, vision, life insurance

HSA contributions

401k with matching

Flexible vacation

Tech package

Relocation assistance (housing)

Job summary

MrBeast is rebuilding its data platform from scratch in a zero-to-one initiative, designed to power product and AI with a privacy-safe foundation across the Bay Area and NYC. The Senior Data Engineer will design, build, and operate scalable batch and streaming pipelines, with a focus on reliability, performance, and cost, while mentoring engineers and shaping governance standards.

This role offers equity, hybrid work, comprehensive benefits, relocation support, and the chance to influence data

Qualifications

• 8+ years designing and operating production‑grade data platforms.

Responsibilities

• Design and implement scalable batch and streaming data pipelines.
• Develop and maintain enterprise data models, schemas, and storage architectures.
• Optimize data processing for performance, reliability, and cost.
• Build automated testing, monitoring, observability, and alerting for data systems.
• Partner with stakeholders to turn business requirements into technical data solutions.
• Set and promote data engineering standards, governance, and best practices, and drive adoption.
• Troubleshoot complex platform issues and production incidents, and mentor engineers through design reviews.

Skills

AI-Native

Platform Builder

Reliability & Quality

Independent Leader

Job description

Senior Data Engineer

Primary: Bay Area (San Francisco / Peninsula) | Secondary: NYC

The Opportunity

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, so you get to design the data platform from scratch instead of untangling years of pipelines. You're here to build the privacy-safe data foundation that powers everything from product to AI.

The Product

You’ll design, build, and run the data platform behind the MrBeast ecosystem: the foundation that lets us understand our audience and power great experiences, directly and with partners. That means:

• Build scalable batch and real-time pipelines feeding analytics, reporting, ML, and operational decisions.
• Hit 99.9%+ pipeline availability and cut data delivery latency on critical datasets.
• Build a privacy-safe data foundation that powers AI and product work across the company.

What You’ll Do

• Design and implement scalable batch and streaming data pipelines.
• Develop and maintain enterprise data models, schemas, and storage architectures.
• Optimize data processing for performance, reliability, and cost.
• Build automated testing, monitoring, observability, and alerting for data systems.
• Partner with stakeholders to turn business requirements into technical data solutions.
• Set and promote data engineering standards, governance, and best practices, and drive adoption.
• Troubleshoot complex platform issues and production incidents, and mentor engineers through design reviews.

Who You Are

• AI-Native: You’re already using AI in your workflow, and you build the data foundations that modern AI and ML actually run on.
• Platform Builder: Typically 8+ years designing and operating production‑grade data platforms, with strong data modeling, ETL/ELT, and distributed data processing chops.
• Reliability + Quality Focused: You’ve driven real improvements in pipeline reliability and data quality, and you can measure and sustain them.
• Independent Leader: You lead complex technical initiatives on your own and take ownership from design through operational support.

Experience building cloud‑based data solutions and modern data architectures. Bonus points for supporting ML and AI data workflows, streaming and event-driven architectures, data governance and metadata management, and leading technical communities of practice.

Benefits

• Equity: Highly competitive equity package designed for a foundational hire.
• Hybrid Model: Expected ~2 days per week in-office (Bay Area or NYC).
• 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