You move data so the rest of the company can trust it. Pipelines, warehouses, and the models on top.

What you’ll do

Build and run pipelines that do not silently break.
Design warehouses and models teams can trust.
Feed the data that AI and analytics depend on.
Automate the tedious parts with AI, keep the judgment.

Your stack

Python, SQL, Spark, dbt, Airflow, and a warehouse like Snowflake or BigQuery. Or your equivalent. We care about the ability, not the exact tools.

The one hard requirement: you are AI-native

You do not just use AI tools, you build with them. You are fluent with agentic coding (Cursor, Claude Code, Copilot) and you ship faster because of it, not despite it. You have taste about when to trust the model and when not to, you write checks or evals for anything that matters, and you turn vague problems into shipped software in days. If AI coding is still a novelty to you rather than how you already work, this is not the role.

You are probably a fit if

You have owned data pipelines in production.
You care about correctness and know how data quietly rots.
You design schemas people can actually use.

Logistics

Remote, global. Full time. Total compensation is $160k to $350k depending on level and location.

What stays open

How you end up working with us, a project, a role on a team, or something in between, is a conversation. Apply and we will figure out the shape.

More about the data engineer track →