Senior Data Platform Engineer

• →5+ years in data or software engineering, with at least 3 years focused on data platforms or big data
• →Production experience building and running data systems at real scale
• →Experience in healthcare, benefits, insurance, or another regulated industry a plus

Data Platform Engineering exists to make the handoff from product data to analytics insight reliable and invisible. As a Senior Data Platform Engineer, you’re the person teammates trust to get complex pipeline work right — designing, building, and operating the pipelines, transformations, and data quality systems that Reporting & Analytics depend on every day. You own your work from design through production, and you build it in ways others can reuse.

• Heavy hands-on experience with large-scale data transformation
• Strong experience building and operating data pipelines and data lakes
• Hands-on experience with open table formats — Apache Iceberg or Delta Lake — including schema evolution, partitioning, and time travel
• Solid experience with workflow orchestration tools such as Airflow, Dagster, or similar
• Practical experience with data governance covering data quality, PII/PHI handling, and freshness monitoring
• Strong SQL and Python proficiency
• Apache Spark experience preferred
• Apache Kafka and event-driven architecture experience preferred
• Experience with distributed systems and microservices as data producers preferrd

Our Commitment: Personify Health is an equal opportunity employer committed to diversity, equity, inclusion, and belonging. We cultivate a work environment where differences are celebrated, and employees of all backgrounds are empowered to thrive—because diversity is core to who we are and critical to our work in health and wellbeing.

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