Innovation, Data & Analytics Team, Data Engineer

Pfizer • New York City, NY

22h • Hybrid

About The Position

Build and operate the production data pipelines that power the Innovation, Data & Analytics team's AI-based workflows, implementing the canonical data model and ensuring reliable, timely, high-quality data for downstream analytics and agentic systems.

Requirements

• Candidate demonstrates strong technical execution and the ability to operate independently in a fast-paced, regulated environment, partnering effectively across data science, governance, and engineering functions.
• Degree in Computer Science, Data Engineering, Information Systems, or a related field
• Experience (6+ years with Bachelor's; 5+ years with Master's) in data engineering, notably in the healthcare/pharma sector
• Strong SQL and Python skills
• Experience with cloud data platforms (Databricks, Snowflake, or similar)
• Experience designing and orchestrating ETL/ELT pipelines
• Healthcare data experience (claims, EHR, HEDIS/OMOP) preferred
• Effective English verbal and written communication with flexibility to be clear, consistent, compliant, and appropriate for a variety of settings including scientific/technical, regulatory, and business audiences
• Anticipates Customer and Market Needs – Knows the data landscape and downstream analytical needs; is dedicated to meeting the expectations of internal customers; always focused on patient safety first.
• Acts Decisively – Makes timely and effective engineering decisions; acts with urgency and removes barriers that hinder productivity.
• Builds Change-Agile Systems – Designs pipelines and data infrastructure that are flexible and adaptive to evolving business needs.
• Strategic and Innovative Thinking – Demonstrates insightful thinking by developing creative approaches to data engineering challenges.
• Is a role model of Pfizer's values and behaviors.
• Demonstrate ability to: Drive transformational change
• Engage diverse technical and business stakeholders
• Understand the applications of technology to the Life Science sector
• Permanent work authorization in the United States.

Nice To Haves

• Healthcare data experience (claims, EHR, HEDIS/OMOP)

Responsibilities

• Build and maintain data pipelines against the data model and standards defined by the Governance & Compliance team
• Own production reliability of the data platform (e.g., Databricks, Snowflake), including monitoring and incident response
• Implement the canonical data model in production, including OMOP/HEDIS mappings where applicable
• Support agentic workflows with clean, timely, well-structured data
• Partner with the Senior Data Analyst to validate data model and mapping conformance
• Partner with the Senior Data Scientist and AI/ML Engineer to ensure pipelines meet the data needs of analytical models and agentic workflows
• Flag data quality issues and advise on required solutions
• Identify opportunities to improve pipeline performance, cost, and maintainability
• Document pipeline architecture and data flows to support governance and audit needs

Benefits

• 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution
• Paid vacation, holiday and personal days
• Paid caregiver/parental and medical leave
• Health benefits to include medical, prescription drug, dental and vision coverage

What This Job Offers

• Job Type: Full-time
• Career Level: Senior