Senior Data Engineer (On-Site / Hybrid Los Angeles)
Were 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 youll 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.
A firm dedicated to recruiting he best talent in Finance, Accounting, Technology, and Human Resources in Southern California.