domain

Senior Data Engineer - Data Lead

US San Francisco, CA, US
Onsite 2026-07-03
Announced salary
$150,000 - $250,000
Low
$123K
Median
$161K
High
$211K
Market in San Francisco · BLS OEWS 2025
Estimated net pay
$8,681 - $13,688
/month · 31% withheld
after tax & contributions · Single, no dependents

Job description

**About Us** ------------ Foundry Robotics is building an AI\-native robotics manufacturing company focused on deploying advanced assembly and production capability for leading robotics companies and national\-security\-critical hardware. Basically, we’re building robots that build robots. We are reimagining manufacturing through advanced robotics. Our mission is to rebuild the American manufacturing industry as an AI\-first, assembly\-focused, dual\-use contract manufacturer. We aim to empower manufacturers with intelligent, efficient, and adaptable robotic systems that redefine productivity and quality. **The Role** ------------ We are hiring a Sr Data Engineer / Data Lead to own the data layer that powers Factory OS. You will design and operate petabyte\-scale data pipelines that ingest visual, telemetry, and manufacturing data from the factory floor, move it reliably across edge, on\-prem, and cloud environments, and make it available for ML training, analytics, and operational decision\-making. You will define the data roadmap—architecture, governance, lifecycle, and tooling—and be the person the rest of the engineering org depends on for clean, reliable, well\-modeled data. You will also contribute to backend services where data meets application logic. This is a hands\-on engineering role. You will ship. **Key Responsibilities** ------------------------ **Petabyte\-Scale Data Pipelines** * Design, build, and operate PB\-scale data pipelines for ingesting, curating, indexing, and preparing manufacturing, visual, and telemetry data * Implement reliable data movement across embedded, edge, on\-prem, and cloud compute environments * Build streaming and batch processing systems that handle high\-throughput factory\-floor data in real time * Implement data lifecycle management: retention, archival, compaction, and cost optimization at scale **Data Architecture \+ Roadmap** * Define and own the Factory OS data roadmap—architecture, governance, quality, a

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