MarTech Data Engineer - Data Clean Room / Identity
Why This Role Stands Out
This MarTech Data Engineer role offers a unique opportunity to shape the future of data privacy and identity solutions within a reputable company, fostering significant career growth. You'll thrive here if you possess strong SQL and data pipeline expertise, with a passion for clean room technologies and privacy-safe data practices. Join a forward-thinking team and make a tangible impact by applying today!
Quick Overview
Job Description
5 to 7 years of professional experience in data engineering, marketing technology, or identity infrastructure
2+ years of hands-on experience in a data clean room environment - LiveRamp Clean Room (Habu) strongly preferred; InfoSum, AWS Clean Rooms, or Google Ads Data Hub also considered
Demonstrated experience authoring clean room question logic and/or UDFs within publisher-constrained query models (not just ingestion/ETL work)
Strong SQL proficiency; experience with privacy-safe aggregate computation patterns (group-by minimums, noise budgets, suppression rules)
Familiarity with identity resolution concepts: deterministic vs. probabilistic matching, RampID or equivalent persistent ID linkage, match rate optimization
Experience building and maintaining data pipelines on cloud platforms (Google Cloud Platform, AWS, or Azure); Python or Spark for transformation work
Working knowledge of data privacy regulations relevant to financial services or regulated industries (GLBA, CCPA, state-level equivalents)
Skills
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