Data Engineer

Role overview Support the design, build, and operation of enterprise data pipelines that move, transform, and analyze information across the organization. The role blends hands-on ETL development with collaboration across data, analytics, and business teams, helping deliver scalable solutions for an insurance and financial services environment.

Responsibilities - Build automated workflows using Control-M that trigger processes, move files, and ingest data - Develop ETL logic in Informatica (Data Management Cloud) to support current and future deployments - Build and maintain data products and processes within Snowflake - Execute end-to-end data management work including ingestion, transformation, cleansing, analysis, and visualization - Partner with teammates and business stakeholders to deliver reusable, scalable solutions across large datasets - Write and review SQL queries, interpret data models, and support database modeling efforts

Requirements - Bachelor's degree in a technology, engineering, or math field, or equivalent combination of education and experience - 2+ years of relevant professional data engineering experience - Hands-on experience with Informatica or Informatica Data Management Cloud - Working knowledge of SQL Server, Oracle, and/or Snowflake - Strong SQL writing skills and ability to interpret data models - Experience in financial services or the insurance industry

Benefits and work setup - Hybrid and remote work arrangements available, decided with the hiring leader during the process - Travel up to 10% of the time