Senior Staff Data Engineer, SmithRx
$178.5-252k
Salary dependent on location
More information about location
Next-generation pharmacy benefits
Be an early applicant
Next-generation pharmacy benefits
501-1000 employees
Be an early applicant
$178.5-252k
Salary dependent on location
More information about location
501-1000 employees
Company mission
To reduce the complexity and costs of pharmacy benefits for America's employers and patients.
Role
Who you are
- 8+ years of years of industrial experience in data engineering with an advanced degree or 12+ years with an undergraduate degree in Computer Science, Information Technology, or a related field. (Start-up and healthcare experience is highly desirable)
- Demonstrated mastery of data modeling concepts, database design principles, and data warehouse technologies (e.g., Snowflake) through production-grade implementations
- Strong skills in PySpark, SQL, and Python are required. Experience in modern object-oriented or compiled languages such as C#/C++, Go, Java, or Scala is a plus
- Hands-on experience with leading ETL tools and frameworks (e.g., Apache Spark, Apache Airflow, dbt, Looker, Superset)
- In-depth experience managing the entire data lifecycle, with direct responsibility for the development, implementation, and production release of complex data processing solutions utilizing distributed systems
- A proven track record of making decisions optimized for the wider engineering organization rather than locally optimal outcomes, especially in environments with significant ambiguity
What the job involves
- 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 dat
- We leverage open-source tools like Airflow and DBT built on top of industry-leading data warehouses (e.g., Snowflake), utilize LLMs to optimize workflows, and use Python heavily in our daily work
- 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
- Align with Business Goals: Leverage a deep understanding of SmithRx’s business strategy to identify group-wide opportunities. Proactively refocus team efforts when projects are off-course or not moving the needle for the business
- Manage Data Quality & Governance: Enforce data governance policies (PII/PHI protection, security, compliance) and implement data quality principles to raise the bar for the reliability of data shared internally and externally
- Influence Cross-Functionally: Influence the roadmaps of other SmithRx teams. Act thoughtfully and decisively in critical situations, seeking diverse perspectives but ultimately leading decision-making to move priorities forward
- 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
- Executive Communication: Develop focused messaging and effectively present technical strategies and business cases at the executive level
- Champion Organizational Change: Break down silos, build deep cross-functional relationships, and create excitement to drive the adoption of new technologies or processes across the organization
Our take
PBMs (Pharmacy Benefit Managers) save payers and patients 40% to 50% on prescription drug and related medical costs in the US, compared to what they would spend without them. It’s generally accepted, though, that PBMs are working for profit and not solely on the customers benefit.
SmithRx is a company looking to reduce complications in the current system with its innovative PBM structure. It uses its cloud-based technology to present the most cost effective options transparently to self-insured businesses, supporting them in getting the lowest cost drugs they can, as well as making the transition to these alternatives seamless.
It does this by partnering with innovative drug companies, as well as applying coupons and making use of available savings and assistance programs. As the company does not take economics from the supply chain, it is able to work for its customers with no hidden agendas. And with significant growth, cost savings, customer satisfaction, and market traction in 2024, the company is very much on track for continued success.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 5 rounds)
Jan 2024
$60m
SERIES C
Mar 2022
$20m
SERIES B
Total funding: $97.5m
Company benefits
- Wellness: Extensive Medical, Dental and Vision plans
- Life and Disability: Fully paid Life Insurance and Disability coverage
- Parental Leave: Paid leave benefits for new parents
- Career Growth: Training, development and advancement support
- Vacation Time: Generous and flexible paid time off
Company HQ
South Park, San Francisco, CA
Leadership
Jake Frenz
(Founder & CEO)Previously worked as Director of Plan Operations at CollectiveHealth and Project Director at Anthem Inc.
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