Senior Data Engineer

• · 5+ years in data engineering, software engineering, or related field • · Strong SQL and Python; solid understanding of ETL/ELT and dimensional/data vault modeling • · Hands-on dbt experience (models, tests, documentation, deployments) • · Experience with orchestration (Dagster or Airflow) and scheduling best practices • · Familiarity with Spark/Databricks and cloud data warehouses (Snowflake preferred) • · CI/CD for data (Git-based workflows, environments), and basic IaC familiarity • · Data observability and testing (dbt tests, Great Expectations/Soda, lineage tools) • · Understanding of security, governance, and privacy for PII/PHI (HIPAA awareness) • · Effective communication and collaboration with technical and non-technical stakeholders • · Bonus if you have Exposure to healthcare data (claims, eligibility, provider directories) • · Performance tuning in Snowflake (warehouse sizing, clustering, caching) • Nothing in this position description restricts management’s right to assign or reassign duties and responsibilities to this job at any time. • Capital Rx is a full-service pharmacy benefit manager (PBM) and pharmacy benefit administrator (PBA), advancing our nation’s electronic healthcare infrastructure to improve drug price visibility and patient outcomes. As a Certified B Corp™, Capital Rx is executing its mission through the deployment of JUDI®, the company’s cloud-native enterprise health platform, and a Single-Ledger Model™, which increases visibility and reduces variability in drug prices. JUDI connects every aspect of the pharmacy ecosystem in one efficient, scalable platform, servicing millions of members for Medicare, Medicaid, and commercial plans. Together with its clients, Capital Rx is reimagining the administration of pharmacy benefits and rebuilding trust in healthcare.