SmithRx
Healthcare
SeniorStaffDataEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Staff Data Engineer at SmithRx. Skills: Data Engineering, Distributed Systems, Data Warehousing, ETL. Define long-term data engineering strategy. Design data ecosystems”
Industry & Context.
Root cause analysis; Troubleshooting; Decision making
What They're Looking For.
Must Have
8+ years data engineering industrial experience, Advanced degree or 12+ years undergraduate degree, Mastery of data modeling concepts, Mastery of database design principles, Mastery of data warehouse technologies, Production-grade implementations, PySpark skills required, SQL skills required, Python skills required, Experience managing entire data lifecycle, Direct responsibility for development, Direct responsibility for implementation, Direct responsibility for production release, Complex data processing solutions, Distributed systems experience, Decisions optimized for wider engineering organization
Nice to Have
Start-up experience highly desirable, Healthcare experience highly desirable, Experience in modern object-oriented languages, Experience in compiled languages, C# experience a plus, C++ experience a plus, Go experience a plus, Java experience a plus, Scala experience a plus, Experience with leading ETL tools, Experience with leading ETL frameworks, Significant ambiguity experience
What You'll Do.
Define long-term data engineering strategy
Design data ecosystems
Design multiple pipelines
Design API boundaries
Simplify infrastructure
Make high-impact technical choices
Identify technical risks
Resolve technical risks
Improve developer efficiency
Establish engineering-wide quality
Establish best practices
Roll out major features
Roll out major systems
Define failure domains
Define success metrics
Leverage business strategy understanding
Identify group-wide opportunities
Enforce data governance policies
Implement data quality principles
Raise data reliability bar
Influence roadmaps of other teams
Seek diverse perspectives
Coach other engineers
Provide constructive feedback
Develop focused messaging
Present technical strategies
Present business cases
Build cross-functional relationships
Drive adoption of new technologies
Drive adoption of new processes
How You'll Work.
Team & Collaboration
Cross-functional teams; Cross-functional relationships; Executive level presentations
Communication Scope
Executive communication; Technical strategy presentation; Business case presentation
Full Job Description
Who We Are: SmithRx is a rapidly growing, venture-backed Health-Tech company. Our mission is to disrupt the expensive and inefficient Pharmacy Benefit Management (PBM) sector by building a next-generation drug acquisition platform driven by cutting edge technology, innovative cost saving tools, and best-in-class customer service. With hundreds of thousands of members onboarded since 2016, SmithRx has a solution that is resonating with clients all across the country. We pride ourselves for our mission-driven and collaborative culture that inspires our employees to do their best work. We believe that the U.S healthcare system is in need of transformation, and we come to work each day dedicated to making that change a reality. At our core, we are guided by our company values: Integrity: Our purpose guides our actions and gives us confidence in the path ahead. With unwavering honesty and dependability, we embrace the pressure of challenging the old and exemplify ethical leadership to create the new. Courage: We face continuous challenges with grit and resilience. We embrace the discomfort of the unknown by balancing autonomy with empathy, and ownership with vulnerability. We boldly challenge the status quo to keep moving forward—always. Together: The success of SmithRx reflects the strength of our partnerships and the commitment of our team. Our shared values bind us together and make us one. When one falls, we all fall; when one rises, we all rise. Job Summary: 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. We leverage open-source tools like Airflow and DBT built on top of industry-leading data warehouses (e.g., Snowflak
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