Senior Data Engineer: Architecting Scalable Data Pipelines

SmithRx; Boston (MA); On-site; USD 190,000 - 230,000; Full time

Benefits offered by this job

Wellness benefits

Professional development

Job summary

SmithRx is hiring for a senior Data Engineer to build and govern distributed data platforms powering PBM analytics. You will shape the technical vision, design cohesive data ecosystems, and lead cross-functional data initiatives across analytics and ML teams.

The role emphasizes strong PySpark, SQL, and Python skills, plus expertise in data modeling, warehousing (Snowflake), and ETL tools. Join a mission-driven company transforming U.S. healthcare with scalable data solutions.

Qualifications

• 8+ years of data engineering experience with an advanced degree or 12+ years with a related undergraduate degree.
• Mastery of data modeling concepts, database design principles, and data warehouse technologies (e.g., Snowflake).
• Strong skills in PySpark, SQL, and Python; experience with languages such as C#/C++/Go/Java/Scala is a plus.
• Hands-on experience with ETL tools and frameworks (e.g., Apache Spark, Apache Airflow, dbt, Looker, Superset).
• Experience managing the full data lifecycle and production releases for complex distributed solutions.

Responsibilities

• Define the long-term data engineering strategy aligned with company priorities.
• Design end-to-end data ecosystems across pipelines and API boundaries.
• Drive engineering excellence and make informed build-vs-buy decisions.
• Improve developer efficiency and establish quality practices across teams.
• Deliver scalable features with solid monitoring and metrics definitions.
• Enforce data governance, security, and data quality standards.

Skills

PySpark

SQL

Python

Data modeling

Data warehousing

Distributed systems

Mentoring

Other languages

Education

Master's or PhD in CS/IT

Tools

Snowflake

Apache Spark

Apache Airflow

dbt

Looker

Superset

Job description

SmithRx is hiring for a senior Data Engineer to build and govern distributed data platforms powering PBM analytics. You will shape the technical vision, design cohesive data ecosystems, and lead cross-functional data initiatives across analytics and ML teams.

The role emphasizes strong PySpark, SQL, and Python skills, plus expertise in data modeling, warehousing (Snowflake), and ETL tools. Join a mission-driven company transforming U.S. healthcare with scalable data solutions.