Digitalbridge
Data Engineering
Overview
We are hiring a mid-level Data Engineer to build and own the pipelines, models, and user-facing data products that power private markets investing at DigitalBridge.
About Digitalbridge
DigitalBridge is an investment firm powering private markets investing, focusing on private equity, private credit, infrastructure, and real assets data.
Requirements & Eligibility
- 3–6 years building production data pipelines and models in a modern cloud data stack
- Strong hands-on Snowflake, dbt, and Airflow
- Advanced SQL and solid Python for ingestion, testing, and light service work
- Deep private markets data experience
- Demonstrated business data alignment
- Experience implementing and maintaining a data catalog
- Track record shipping user-facing data products
- A value-driven mindset
Key Responsibilities
- Design, build, and operate production data pipelines in Snowflake + dbt + Airflow
- Model private markets data into clean, well-documented dimensional and semantic layers
- Partner directly with investment, portfolio operations, finance, and IR stakeholders
- Own the metadata and discovery experience in our data catalog
- Build user-facing data products
- Drive measurable value out of our data investments
- Implement data quality, testing, freshness SLAs, and observability
- Contribute to governance
Disclaimer: Trace Hiring is an independent job board. We are not directly affiliated with Digitalbridge. Please verify all details on the official company application portal.