Principal Data Engineer, Machine Learning

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 on 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, Courage, and Together.

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 an experienced Principal Data Engineer with expertise in data engineering and AI/ML. In this key role, you will take ownership of driving innovation and leading the technology strategy for modern data platforms including data warehouse, tooling, integrations, and AI/ML. You will collaborate with cross-functional leaders to deliver impactful data solutions that directly influence our business outcomes.

What You Will Do:

• Lead the design and development of robust data architectures that support scalable, secure, and efficient data pipelines. Architect and develop an enterprise data warehouse (EDW) and tooling that integrates automation for ETL/ELT pipelines and supports reporting and insights.
• Develop strategies across the entire AI/ML project lifecycle, from problem definition and data preparation to model deployment and performance monitoring.
• Drive innovation by evaluating and implementing new technologies and tools that enhance our data platform's capabilities, ensuring optimization and adherence to best practices in data security and compliance.
• Ensure data quality, lineage, and resilience across production environments with monitoring, alerting, and recovery mechanisms to guarantee 99% uptime.
• Provide technical leadership, mentoring, and guidance to team members, establishing best practices in data engineering and data science.
• Influence and collaborate with cross-functional teams, including product managers, engineers, data analysts, and business stakeholders.

What You Will Bring to SmithRx:

• BS, MS, or PhD in Computer Science, Information Systems, or a related field with 15+ years of experience in data engineering, data science, or a similar role.
• Strong expertise in data architecture, database design, and optimization across OLTP, OLAP, NoSQL, and cloud-based data warehouses (e.g., AWS Snowflake, PostgresDB, DynamoDB).
• Proficiency in programming languages and tools including Python, SQL, Spark, PySpark, Airflow, DBT, Snowflake, Cortex, OpenAI, and Terraform.
• Proven experience architecting and designing AI/ML initiatives with a deep understanding of AI/ML algorithms and frameworks. Nice to have: experience in developing and deploying ML models in production.
• Ability to lead cross-functional teams, influence stakeholders, and manage complex projects in a fast-paced environment with strong analytical and problem-solving skills.
• Excellent communication and presentation skills, with the capability to convey complex technical concepts to both technical and non-technical audiences.

What SmithRx Offers You:

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