EP Wealth Advisors (EPWA) is a wealth management advisory firm with over $49.1 billion as of June 30, 2026, serving predominately high net worth individuals. EPWA fosters an inclusive environment that offers opportunities for our associates to learn, grow and enhance their skills to take on new challenges to progress in their professional careers.
Summary
EP Wealth Advisors is building and scaling a modern enterprise data platform centered on Snowflake and Microsoft Azure. We are seeking a seasoned, hands-on Data Engineer to help design, build, operate, and continuously improve the data pipelines and engineering frameworks that power enterprise analytics, reporting, operational workflows, and future AI capabilities.
This role will be a key technical contributor within the Data & AI Platforms organization. The Data Engineer will work across Snowflake, Azure, Windmill, enterprise APIs, and internal business systems to create reliable and reusable data ingestion, transformation, and integration capabilities.
The ideal candidate combines strong data engineering fundamentals with deep hands-on Snowflake experience, advanced SQL and Python skills, cloud engineering expertise, and a modern engineering mindset that incorporates automation and AI-assisted development.
Key Responsibilities
Data Engineering and Snowflake
- Design, build, test, deploy, and maintain scalable ELT/ETL pipelines that ingest and transform data from enterprise applications and external data providers into Snowflake.
- Develop high-quality Snowflake data models, schemas, transformations, and reusable data engineering components supporting analytics, reporting, operational workflows, and AI use cases.
- Build and
Data Engineer in Remote at Unknown Company
This position is listed as full time and onsite.