Sr. Data Engineer: Scale PBM Analytics on Snowflake
SmithRx
An application made for this job — a tailored resume and cover letter that speak straight to the posting.
Benefits offered by this job
Job summary
SmithRx is seeking a senior Data Engineer to shape and execute the data strategy for a PBM-focused platform. You will architect scalable data pipelines, drive data governance, and collaborate with analytics and ML teams to unlock pricing transparency.
This role emphasizes strategic thinking, leadership, and hands-on engineering across distributed systems. You will work with Snowflake, Airflow, dbt, and Looker/Superset, and you will mentor engineers while aligning data products with SmithRx’s
Qualifications
- 8+ years of industrial data engineering experience with an advanced degree or 12+ years with a related undergraduate degree.
- Mastery of data modeling, database design, and data warehouse concepts in production.
- Strong skills in PySpark, SQL, and Python; experience with JVM languages is a plus.
Responsibilities
- Define long-term data engineering strategy guided by company priorities and engineering best practices.
- Design coherent pipelines and architectures across multiple boundaries to simplify infrastructure.
- Make build-vs-buy decisions and manage technical risk across systems.
Skills
Education
Tools
Job description
SmithRx is seeking a senior Data Engineer to shape and execute the data strategy for a PBM-focused platform. You will architect scalable data pipelines, drive data governance, and collaborate with analytics and ML teams to unlock pricing transparency.
This role emphasizes strategic thinking, leadership, and hands-on engineering across distributed systems. You will work with Snowflake, Airflow, dbt, and Looker/Superset, and you will mentor engineers while aligning data products with SmithRx’s
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