# Senior Staff Data Engineer at SmithRx

- Company: SmithRx
- What the company does: SmithRx is a pharmacy benefits partner built on a modern technology platform that creates new levels of flexibility, efficiency, and customer satisfaction. Backed by Venrock.
- Company website: https://smithrx.com
- Type: Startups
- Level: Senior
- Location: Remote
- Work setup: Remote
- Posted: 2026-09-09
- Apply by: 2026-10-24
- Apply: https://job-boards.greenhouse.io/smithrx/jobs/8785837002
- Page: https://www.1752.vc/careers/jobs/smithrx-senior-staff-data-engineer/

## About the role

On the Data Engineering team, we transform streams of data into insights that solve real-world Pharmacy Benefits Management (PBM) challenges. We empower our Data Analytics and Machine Learning teams to make drug pricing transparent and easy to understand. We deliver business impact by designing, implementing, and maintaining distributed systems to collect, aggregate, and govern pharmaceutical data.

## What they're looking for

- Define Technical Vision: Define the long-term data engineering strategy guided by company-wide priorities and engineering best practices
- Design Ecosystems: Create coherent designs across multiple pipelines and API boundaries. Reduce complex concepts to foundational components and simplify infrastructure to lower maintenance costs
- Drive Engineering Excellence: Make high-impact technical choices—including "build vs. buy" and framework selections— based on sound reasoning. Review designs to preemptively identify and resolve technical risks
- Improve Developer Efficiency: Implement solutions that measurably improve developer efficiency and establish engineering-wide quality and best practices
- Deliver at Scale: Roll out major features and systems reliably, including appropriate monitoring, failure domain characterization, and success metric definitions
- Mentor and Develop: Serve as a role model and coach for other engineers, taking into account their unique skills and providing constructive feedback to maximize their impact

Tags: Data