Senior Data Engineer - Healthcare Analytics Pipelines

Pfizer; Cambridge (MA); Hybrid; USD 124,000 - 207,000; Full time

Benefits offered by this job

401(k) matching

Retirement savings contributions

Paid time off

Health benefits

Job summary

Pfizer seeks a data engineer to build and operate production data pipelines powering AI workflows. You will implement the canonical data model, ensure data quality, and maintain reliability for downstream analytics in a regulated environment.

The role requires 6+ years in data engineering (5+ with a Master's) in healthcare/pharma, strong SQL/Python, and experience with Databricks/Snowflake. Hybrid work with on-site days in multiple U.S. locations including Cambridge, MA.

Qualifications

• Degree in Computer Science, Data Engineering, Information Systems, or a related field.
• 6+ years with Bachelor's; 5+ years with Master's in data engineering, healthcare/pharma.
• 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.

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

Healthcare data

Regulatory/compliance

English communication

Education

CS/Data Eng degree

Tools

Databricks

Snowflake

ETL/ELT tooling

Job description

Pfizer seeks a data engineer to build and operate production data pipelines powering AI workflows. You will implement the canonical data model, ensure data quality, and maintain reliability for downstream analytics in a regulated environment.

The role requires 6+ years in data engineering (5+ with a Master's) in healthcare/pharma, strong SQL/Python, and experience with Databricks/Snowflake. Hybrid work with on-site days in multiple U.S. locations including Cambridge, MA.