Data Engineer

📋 Description Build and maintain Spark and SparkSQL jobs that populate company data models Own well-scoped pipelines end to end, from requirements through deployment, monitoring, and Contribute to data quality frameworks, testing, and data lineage instrumentation Partner with data scientists, analysts, product managers, and engineers to turn data needs into Extend datamarts and data models supporting recurring reporting and analysis across products Improve the reliability and cost efficiency of existing pipelines, dashboards, and frameworks 🎯 Requirements 2+ years of development experience in Spark, Python, Java, C++, or Scala 2+ years of SQL experience, including query performance tuning 2+ years of experience with schema design and dimensional data modeling Experience building and maintaining production data pipelines that others depend on Working exposure to a cloud data lake or lakehouse platform, Databricks preferred Clear written and verbal communication with non-engineering partners, and a track record of asking