Data Engineer

At Bedrock, we're moving AI out of the lab and into the real world. Our team includes veterans who helped launch Waymo, scaled Segment to a $3.2B acquisition, and grew Uber Freight to $5B in revenue. Today, we're deploying autonomous systems on heavy construction equipment across the country, improving safety on job sites and accelerating schedules on critical infrastructure projects. We're not here debating the future of AI. We're deploying it in the real world. In just two years, we've raised $350M and achieved the first fully autonomous excavator deployments in construction. This is where algorithms meet steel-toed boots. You'll work alongside construction veterans and world-class engineers to solve physical-world problems that simulations can't touch. If you're ready to do meaningful work on hard problems, we'd love to have you join us.

Our Data Platform is growing fast - more users, more data sources, more pipelines - and the expectations that come with that growth are rising accordingly. We need a Senior Data Engineer who can work across the stack: tighten up our ingestion pipelines, write new ETL pipelines wherever needed, build out monitoring and alerting where we have blind spots, and help internal teams build their own data infrastructure “the right way”. You'll spend real time in the weeds - writing and debugging pipelines, optimizing queries, reviewing what others have built - and you should be comfortable with that.

This is a high-impact role. Our data is increasingly tied to the experiences we deliver to customers, which means data quality, accuracy, and observability are no longer just engineering concerns - they directly affect trust. You'll be at the center of that challenge.

You will design, build, and maintain robust, scalable data pipelines and ingestion workflows across a growing Data Lake;

Define and enforce data quality standards, SLOs, and validation frameworks to ensure accuracy and reliability of critical data assets;