Principal Data Engineer
Core
Architect and build scalable data products and reporting solutions for internal teams and external partners in the financial technology sector.
Role type
Principal Data Engineer (hands-on IC)
Builds
Production-grade data models, transformation logic, and reporting solutions for high-volume financial datasets
Domain
Financial Technology (Fintech)
Deliverable
production ML models | product features
Required skills
SQL, Python (Pandas/Polars/Spark), Databricks, dbt, AWS, CI/CD, data modeling, query optimization
Preferred skills
None stated
Technologies
Databricks, dbt, Python, SQL, AWS, Git, dbt Cloud
Responsibilities
Own the full lifecycle of data products from architecture to production deployment; Design and code complex dbt models for high-volume financial datasets; Write production-grade Python scripts for advanced data processing and orchestration; Optimize query performance and refactor legacy code; Engineer automated testing frameworks for data quality; Partner with stakeholders to translate requirements into data products; Mentor engineers through code reviews and architectural guidance
Seniority
Principal, hands-on IC
