Data Product Engineer, Global Data and AI Enablement

Role Overview

The Global Data & AI Enablement team is seeking a hands-on Data Product Engineer to build and manage integrated data products tailored to the needs of internal customers. The role will transform vendor-delivered raw data in data warehouse into curated, reusable, and well-documented data tables that support commercial analytics, business operations, and AI applications.

What You Will Do

Design, build, test, deploy, and maintain data transformations, curated data tables, reusable models, semantic-layer components, and production-ready datasets in Snowflake. Build integrated data products combining claims, Veeva CRM, HCP/HCO hierarchies, Specialty Pharmacy/HUB, specialty distributor/3PL, payer/access, sales, and marketing-engagement data.

Why It Might Be a Fit

This is a builder role for someone who enjoys translating business needs into durable technical solutions and owning data products throughout their lifecycle. The successful candidate will partner with cross-functional teams to design, deploy, monitor, and enhance production data products.

Requirements

• Bachelor’s or Master’s degree in computer science, data engineering, data science, information systems, engineering, or a related field, or equivalent practical experience.
• 2+ years of hands-on experience in data engineering, analytics engineering, data product engineering, or a closely related role, with demonstrated ownership of production data products.
• Strong SQL and hands-on Python skills for data transformation, business-rule implementation, automation, testing, troubleshooting, and performance optimization.
• Hands-on experience with Snowflake or a comparable cloud data warehouse and modern ELT patterns; experience with dbt or a comparable transformation framework is strongly preferred.
• Excellent communication and collaboration skills, with the ability to work effectively with technical teams, business stakeholders, and external data vendors.
• Strong ownership mindset, attention to detail, and commitment to building reliable, documented, and maintainable data products.

Benefits

• Comprehensive medical coverage
• Dental and vision coverage
• Generous paid time-off
• 401(k) retirement plan with competitive company match
• Medical & Dependent Care Flexible Spending Account
• Up to $150 monthly cell phone reimbursement
• Employee Assistance Program
• Free parking