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Innovation, Data & Analytics Team, Data Engineer

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Salary

The annual base salary for this position ranges from $124,400.00 to $207,400.00.

Location

New York, NY; Cambridge, MA; Collegeville, PA; Groton, CT; Montreal, QC; Europe (Any Pfizer site)

Posted

Today

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.

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

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