Description
The Data Engineer will maintain and assemble data pipelines that consume large datasets, perform complex transformations, integrate finished models, optimize Spark code, and build Azure, Databricks, and SQL infrastructure for data extraction, transformation, and loading. The role also involves documenting features and transitioning them to L2 support. Candidates need at least 5–8 years of data engineering experience, strong Spark and Python or Scala skills, experience with large datasets and data pipelines, and knowledge of data warehousing; cloud certification, CI/CD, DevSecOps, retail experience, and AI tool exposure are advantageous. Benefits include a flexible working environment, volunteer time off, LinkedIn Learning, and an Employee Assistance Program.
