Senior Data Engineer

BEAST INDUSTRIES

Senior Data Engineer

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 ~3 days per week in-office - San Mateo, CA

Compensation $178,000 –$223,000 base + equity + benefits