Qualifications What you'll bring with you 10+ years hands-on with production data, across data engineering, data operations, or data platform work Expert SQL, including performance tuning where a bad query plan costs hours and real money rather than seconds, plus strong production Python (PySpark preferred) A track record designing data quality, validation, monitoring, or reconciliation systems that measurably reduced defects or manual effort Real accountability for production batch pipelines, not only experience building them Large-scale distributed platforms (Databricks, Spark, or equivalent) and relational or MPP warehouses (Greenplum, Postgres, Snowflake, Redshift, or similar) Software engineering practice applied to data work: version control, code review, automated testing, CI/CD Comfort with messy, high-cardinality data - matching and deduplication included - and healthy skepticism toward data that looks too clean The ability to explain how an upstream change ripples into a downstream product to people who aren't engineers Bachelor's degree in a technical field, or equivalent practical experience Why you might stand out from other talent Transaction, payments, card, retail POS, loyalty, or retail measurement data experience Delta Lake or equivalent, governed catalogs, incremental ingestion, and cluster or warehouse cost tuning Workflow orchestration at scale (Airflow, Databricks Jobs) and containerized deployment PII handling, pseudonymized identifiers, or work in regulated or clean-room environments Lightweight internal tooling (Flask or similar) for operational interfaces Additional Information When you join Epsilon, we'll create something EPIC together. Company Description Click here to view how Epsilon transforms marketing with 1 View, 1 Vision, 1 Voice Overview Epsilon's transactional data products turn purchase and card-transaction signals into governed datasets that our audience, measurement, and client reporting teams build on.