Senior Data Engineer

MrBeast • San Francisco, CA

7d • Hybrid

About The Position

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.

Requirements

• 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.

Nice To Haves

• Supporting ML and AI data workflows
• Streaming and event-driven architectures
• Data governance and metadata management
• Leading technical communities of practice

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.

Benefits

• Highly competitive equity package designed for a foundational hire.
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed