Senior Data Engineer (On-Site / Hybrid - Los Angeles)
We're looking for a Senior Data Engineer to help design and scale the core data infrastructure powering a modern analytics platform. This is a high-impact, product-focused role where you'll shape data systems that unify policy, commission, and client accounting information into a single source of truth.
Responsibilities :
- Build and optimize data pipelines and models using modern tools such as Snowflake, dbt, Airflow, and Python .
- Develop and maintain a master data solution consolidating data from multiple business systems.
- Modernize and refactor legacy ETL processes (Java / SQL → Python / Airflow).
- Implement data quality and validation frameworks to ensure accuracy and reliability.
- Collaborate with product, engineering, and business teams to translate requirements into scalable solutions.
Qualifications :
5+ years of data engineering experience building production-grade pipelines.Advanced skills in Python and SQL .Experience with cloud data warehouses (Snowflake or Redshift) and AWS data services (S3, Glue, Lambda, RDS).Strong understanding of data modeling and analytics architecture.Bonus : Experience with insurance data, Applied EPIC, IVANS, or similar systems.Why Join :
Help build foundational data products from the ground up.Work with a modern data stack and experienced engineering leadership.Opportunity to shape data strategy in a fast-moving, high-impact environment.