Mid-Level Data Engineer — ETL Pipelines & Data Lakes (Remote)
Summary
A data engineer who designs, builds, and optimizes ETL/ELT pipelines and maintains data lakes and feature stores using Spark and AWS data services. They partner with Markets and Product teams on dashboards and support ML engineers building subrogation solutions.
Exadel is seeking a data engineering professional to design, build, and optimize ETL/ELT pipelines, transforming both customer and internal data into actionable datasets. You will collaborate with Markets and Product teams to create dashboards that guide strategy and serve client needs.
You will also build and maintain data lakes and feature stores used by the ML Engineering team to develop ML solutions for subrogation, leveraging Spark, AWS data services, and modern data architectures.
