SmithRx is a rapidly growing, venture-backed Health-Tech company dedicated to transforming the Pharmacy Benefit Management sector. The Staff Data Engineer will be responsible for designing and maintaining systems that collect and govern pharmaceutical data, empowering analytics and machine learning teams to enhance drug pricing transparency.
Responsibilities:
- Build Resilient Systems: Design flexible, difficult-to-misuse software components and data pipelines. Reduce complex designs into simple foundational components to proactively avoid scaling issues and lower maintenance costs
- Manage Cross-Boundary Integrations: Create coherent ecosystem designs across multiple pipelines and API boundaries. Ensure reliable feature rollouts with appropriate monitoring, paging, and well-characterized failure domains
- Improve Developer Efficiency: Continuously look for ways to simplify code and infrastructure. Implement solutions that measurably improve developer efficiency
- Drive Large-Scale Projects: Autonomously define and deliver technical roadmaps for larger projects with cross-team dependencies. Execute against tight deadlines while preemptively identifying and resolving technical risks
- Unblock the Team: Assess and eliminate the root causes of technical and process barriers. Own your decisions and mistakes, taking action to prevent them in the future and sharing learnings widely
- Align Technical Output with Business Value: Partner with your manager to define team priorities based on SmithRx’s business strategy. Design clear success metrics for systems and achieve them consistently post-launch
- Cross-Functional Collaboration: Break down silos within and across functions. Write crisp narratives to create understanding, get buy-in, and enable effective decision-making among stakeholders
- Navigate Ambiguity: Act thoughtfully in critical situations. Balance conflicting perspectives, encourage productive debate, and commit to moving key company priorities forward even when making unpopular decisions
- Mentor & Develop Talent: Serve as a role model and technical guide for less-experienced team members, tailoring your coaching and feedback to their specific skills and working styles
- Champion Culture & Hiring: Actively participate in the hiring process for senior candidates and managers (interviews, debriefs, 1:1 sell chats). Foster psychological safety, encourage a growth mindset, and consistently personify SmithRx’s core values
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)
- Demonstrated expertise in data warehouse technologies (e.g., Snowflake) and mastery of data modeling concepts through production-grade implementations
- A proven track record of successfully executing complex projects with cross-team dependencies from design to post-launch monitoring
- The ability to tailor technical messaging to various audiences, explaining how business priorities inform engineering choices
- Start-up and healthcare experience is highly desirable
- Experience in modern object-oriented or compiled languages such as C#/C++, Go, Java, or Scala is a plus