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: Always operate with honesty and transparency so we earn the trust of our clients.
- Courage: Demonstrate the courage needed to take on a broken industry and continuously improve what we offer to optimize health outcomes.
- Together: Foster a collaborative and inclusive environment that values teamwork, respect, and open communication, and encourages creativity and diversity of thought.
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
