Data Engineer

# Data Engineer Build the pipelines and data foundations the agents depend on, inside the client’s own warehouse and cloud.

Apply for this role →See all roles## The role Agents are only as good as the data underneath them. You will build the pipelines, models, and foundations that feed the agents, all inside the customer’s own cloud and warehouse, so their data never leaves their boundary. Reliable, observable, and secure is the whole job.## What you'll do
* Build and maintain data pipelines inside customer clouds (Big Query, Databricks, Redshift, and friends).
* Model the first-party data that agents and analytics rely on, with quality and lineage you can stand behind.
* Wire agents to live data sources and keep those connections reliable and observable in production.
* Work within least-privilege access and keep everything auditable in the client’s own tooling.## What we're looking for
* Solid data engineering: SQL, pipelines, orchestration, and at least one major warehouse in production.
* You care about reliability and observability, not just getting the data to move once.
* Comfort operating inside someone else’s cloud under real security constraints.
* You can reason about the data a downstream agent actually needs.## Bonus points
* Databricks, dbt, or streaming pipelines.
* Healthcare or other regulated data (PHI handling, BAAs).
* You have supported ML or agent systems with the data they run on.## How we work Senior, remote-first, and async. The person who designs your system builds it and operates it: no layers, no handoffs. You own your work in front of the client, and we back you with real ownership, meaningful equity, and the time and tools to do it well.

The full list of what you get is on the careers page.

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· Data Engineer## Apply for this role.

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