Principal Data Engineer, Analytics
Core
Architect and build scalable data products and reporting solutions for high-volume financial datasets to empower internal teams and partners.
Role type
Principal Data Engineer (Analytics)
Builds
Production-grade data models, transformation logic, and reporting solutions for financial data.
Domain
FinTech / Capital Markets
Deliverable
production ML models | product features
Required skills
SQL, Python (Pandas/Polars/Spark), Databricks, dbt, CI/CD, data modeling, performance optimization, unit testing
Preferred skills
Airflow, Sigma Computing, Databricks Data Apps, AI/LLM tools
Technologies
Databricks, dbt, Python, Git, AWS, Spark
Responsibilities
Design and code complex dbt models for high-volume financial datasets; optimize query performance and incremental loading strategies; implement automated testing frameworks and validation suites; partner with stakeholders to translate requirements into data products; mentor engineers through code reviews and architectural guidance.
Seniority
Principal, hands-on IC with strategic scope
