About the role
Transform data into insights for Pharmacy Benefits Management.
- •On the Data Engineering team, we transform streams of data into insights that solve real-world Pharmacy Benefits Management (PBM) challenges.
- •We deliver business impact by designing, implementing, and maintaining distributed systems to collect, aggregate, and govern pharmaceutical data.
- •Key Responsibilities Build Resilient Systems: Design flexible, difficult-to-misuse software components and data pipelines.
- •Manage Cross-Boundary Integrations: Create coherent ecosystem designs across multiple pipelines and API boundaries.
- •Improve Developer Efficiency: Continuously look for ways to simplify code and infrastructure.
- •Drive Large-Scale Projects: Autonomously define and deliver technical roadmaps for larger projects with cross-team dependencies.
- •Align Technical Output with Business Value: Partner with your manager to define team priorities based on SmithRx’s business strategy.
- •Requirements 6+ years of industrial experience in software or data engineering.
- •Strong skills in PySpark, SQL, and Python are required.
- •Hands-on experience with leading ETL tools and frameworks (e.g., Apache Spark, Apache Airflow, dbt, Looker, Superset).
Tech stack
SparkSQLPythonAirflowdbtLookerSnowflake
Match insights
Tech:Spark, SQL, Python, Airflow, dbt
Level:Lead