Data Engineer / Senior Data Engineer

About Sigmoidal Sigmoidal is an AI consulting & development company transforming how large enterprises work. The mission is simple: put exceptional engineers in front of the hardest AI problems in private equity, healthcare and finance. We started in 2016, long before the OpenAI era, building custom models when enterprise AI deployments were just beginning.

Since then, we have redesigned processes at companies including Novartis, Baillie Gifford and Infineon. Today we build AI systems that run every day inside leading US private equity firms and fintechs, supporting the management of more than $200 billion in assets. What a Senior Data Engineer owns, end-to-end Before people who manage billions of dollars open a report, someone has decided how its data is modelled, where each figure came from and who may see it.

At Sigmoidal, that someone is a Data Engineer. Our partners make investment decisions on this data, so the pipelines aren’t plumbing. Each partner gets a small, senior-only team, and one Data Engineer shapes how the data platform is built and answers for it.

You own the data platform investment teams use for reports and decisions: Data modelling happens first, before any tool. Production-ready ETL/ELT pipelines on Snowflake, dbt and Airflow, in Python and SQL, for data from fund administrators, portfolio companies, CRMs and data rooms. Data quality, consistency, performance and cost, down to the Snowflake bill.

Data governance: lineage, metadata and quality checks, wi