Innovation, Data & Analytics Team, Data Engineer

SUMMARY 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.

RESPONSIBILITIES Pipeline Build & Production Ownership 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 Collaboration & Continuous Improvement 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 BASIC QUALIFICATIONS 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 Technical: 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 Other Job Details:   Last Date to Apply for Job: September 23rd, 2026. Locations: NYHQ or PA-Collegeville or MA-Cambridge or CT-Groton or Europe any Pfizer site or QC - Montreal NOT Eligible for Relocation Package  Position is hybrid and will require to work 2 to 3 days per week on site  #LI-PFE 
The annual base salary for this position ranges from $124,400.00 to $207,400.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 17.5% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life’s moments. Benefits offered include a 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, and health benefits to include medical, prescription drug, dental and vision coverage.