Data Engineer (AI Agents) at Sigmatic

Five or more years in data engineering or analytics engineering, having owned pipelines a business depended on
Strong SQL and Python: production transformations, testing, debugging, performance work
Serious dbt experience. Multi-tenant or multi-source projects are what we most want to hear about
ETL and ELT against messy real sources: APIs, databases, files, cloud storage, with full and incremental loads, CDC and idempotent reruns
A way of working that already assumes AI assistance, and a clear account of how you verify what you did not write
Precision in writing. Much of your output is read by a model before a person sees it, so unambiguous descriptions of what a column means are a deliverable, not an afterthought
A record of finishing: edge cases, validation, documentation, deployment, production support

Sigmatic is Hiring