Senior Manager, Data Engineering

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:

SmithRx is leading the transformation of pharmacy benefit management (PBM) with a cutting-edge platform that delivers real-time insights, cost efficiencies, and exceptional customer experiences. As we continue to expand, we are seeking a Senior Data Engineering Manager to lead our data engineering team and drive the development of a scalable, trustworthy data platform that powers internal analytics, AI/ML products and customer-facing applications. You will collaborate with cross-functional engineering and business teams to deliver impactful data solutions that directly contribute to our business outcomes. SmithRx differentiates from other PBM competitors by promising transparency, which is directly delivered through our data platform - what you and your team deliver is core to our business model. A minimum of 5 years of experience managing data engineering teams is required.

In order to be eligible for this position applicants must be based in one of the following states: Arkansas, Arizona, California, Colorado, Florida, Georgia, Kansas, Minnesota, Missouri, Nevada, Ohio, Pennsylvania, Tennessee, Texas, Utah, Virginia, Washington, Wisconsin.

What you will do:

• Lead and grow a high-performing data engineering team, fostering a culture of technical excellence, collaboration, accountability and innovation
• Define and execute a strategic roadmap for data infrastructure, ensuring alignment with business goals and product needs
• Design, build, and maintain a scalable, reliable, and high-performance data platform that supports multiple use cases, including internal analysis and reporting, AI/ML workloads, external integrations and customer facing products
• Champion data quality across the company ensuring data remains trustworthy across a complex ecosystem of both internal and external inputs

What you will bring to SmithRx:

• 8+ years of experience in software and data engineering with at least 5 years managing teams
• Deep expertise in data warehousing (e.g., Snowflake, BigQuery, Redshift), ETL, and data pipeline orchestration (e.g., Airflow, dbt)
• Experience working on data platforms that support AI/ML and business critical external integrations
• Experience driving data quality measurement and improvement
• Passion for aligning a data infrastructure roadmap with business outcomes
• Ability to forge trusting relationships with cross functional engineering and business partners

What SmithRx Offers You: 

• Highly competitive wellness benefits including Medical, Pharmacy, Dental, Vision, and Life Insurance and AD&D Insurance
• Flexible Spending Benefits 
• 401(k) Retirement Savings Program 
• Short-term and long-term disability
• Discretionary Paid Time Off 
• 12 Paid Holidays
• Wellness Benefits
• Commuter Benefits 
• Paid Parental Leave benefits
• Employee Assistance Program (EAP)
• Well-stocked kitchen in office locations
• Professional development and training opportunities