Data Engineer Mid

Strong SQL and proficiency in a programming language for data engineering (e.g., Python or Scala). Hands-on experience with Databricks/Spark, data lake/warehouse design, and pipeline orchestration. Experience with real-time/streaming data (e.g., Kafka) and event-driven architectures. Experience with reverse-ETL/activation and identity resolution (e.g., Hightouch, LiveRamp/UID2) preferred. Understanding of data modeling, data quality, governance, and change management. Familiarity with marketing/customer data concepts (C360, RFM, LTV, loyalty) and compliant handling of PII.