Data Engineer
Core
Building scalable, reliable data pipelines to ingest, transform, and operationalize data for analytics and operational workflows within the investment intelligence domain.
Role type
Data Engineer
Builds
Scalable ETL/ELT pipelines, data models, and operationalized datasets
Domain
Financial services / Investment intelligence
Deliverable
production ML models | product features
Required skills
Python, PySpark, SQL, Data modeling, Data ingestion (APIs, databases, real-time feeds), Data quality & governance, Distributed compute, Modern ELT patterns
Preferred skills
Palantir Foundry, Spark optimization, Databricks, Streaming frameworks, AI-assisted ETL
Technologies
Palantir Foundry, Python, PySpark, SQL, Databricks
Responsibilities
Ingest and onboard datasets from internal systems, APIs, databases, and external providers; Build and operate scalable ETL/ELT pipelines; Model and operationalize data entities; Ensure data trust through testing, quality checks, and observability; Collaborate with teams to translate business requirements into data solutions.
Seniority
Mid-level (1-3 years experience)
