Healthcare Data Engineer: AI-ready Pipelines

Pfizer; Pennsylvania; Hybrid; USD 124,000 - 207,000; Full time

Job summary

Pfizer seeks a data engineering professional to build and operate production data pipelines powering AI-driven workflows in the Innovation, Data & Analytics team. You will implement a canonical data model and ensure reliable, timely, high-quality data for downstream analytics and agentic systems.

You will own pipeline reliability on platforms like Databricks and Snowflake, drive data quality, and collaborate with data science colleagues to meet analytical needs while navigating a regulated

Qualifications

• 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.

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.

Skills

SQL

Python

ETL/ELT pipelines

Cloud data platforms

Healthcare data

Education

Degree in Computer Science or related field

Tools

Databricks

Snowflake

Job description

Pfizer seeks a data engineering professional to build and operate production data pipelines powering AI-driven workflows in the Innovation, Data & Analytics team. You will implement a canonical data model and ensure reliable, timely, high-quality data for downstream analytics and agentic systems.

You will own pipeline reliability on platforms like Databricks and Snowflake, drive data quality, and collaborate with data science colleagues to meet analytical needs while navigating a regulated