Principal, Data Engineer
Core
Highest-level individual contributor and technical authority setting platform engineering standards and driving improvements in data quality, pipeline performance, and scalability for the Medicare Advantage data ecosystem.
Role type
Principal, Data Engineer (hands-on IC)
Builds
Scalable cloud-based data processing frameworks, transformation models, and AI/ML-integrated pipelines for claims, encounters, risk adjustment, and member data.
Domain
Healthcare / Health Insurance / Medicare Advantage
Required skills
Enterprise data platform design, complex ETL/ELT pipeline architecture, Apache Kafka, Databricks, Apache Spark, cloud-native tools, HIPAA/PHI/PII data governance, technical standards setting, cloud migration leadership, AI/ML integration in data pipelines
Preferred skills
Medicare Advantage specific data constructs (RADV, HEDIS, CMS reporting), high-growth transformation environment experience, cloud platform certifications, DataOps training
Technologies
Apache Kafka, Databricks, Apache Spark, Azure, AWS, GCP, Python, Scala, Java
Responsibilities
Define and maintain data engineering patterns and architectural guardrails; Lead design of scalable data processing frameworks; Integrate machine learning and automation into production pipelines; Build and optimize high-performance cloud-based data pipelines; Mentor engineers through architecture reviews and design sessions; Evaluate emerging data technologies for platform roadmap; Apply expertise in Medicare Advantage data constructs to ensure regulatory compliance
Seniority
Principal, hands-on IC
