Discipline
Data engineers, analytics engineers, and analysts who build the pipelines and the insight on top of them.
How this market works
Building reliable data infrastructure is a different job than analyzing what comes out of it. We match on which one someone has actually owned.
Batch at rest and streaming at volume are different disciplines. We screen on the data size and latency someone has really worked with.
Knowing the tools by name is not the same as running them under load. We look for the person who has debugged the pipeline at 2am.
We screen for people whose work changed a decision, not who shipped the most dashboards nobody opened.
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Data & Analytics
Join a profitable healthcare AI company that deploys predictive models into the largest U.S. health systems and health plans. You will own 3 to 5 enterprise…
$180,000 – $240,000
Data & Analytics
Own the caselaw and docket data layer at a seed-stage legal tech startup building an AI litigation platform. Your pipelines turn raw legal data into the…
$180,000 – $220,000
Plain answers
Data engineers, analytics engineers, BI and data analysts, and the leaders who build data teams.
Related but not the same. Data teams build the foundation ML runs on; when a role is really about building models, it lives in the AI and machine learning hub.
Tell us what you are building. The first conversation costs nothing and stays between us.