Director, Data Integration Engineer

Pfizer

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
New York City, NYCollegeville, PA
Salary
$176,600–$294,300 / yr
Posted
3 days ago
Freshness
Confirmed live today
Closes
Sep 25, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $232k
This role $235k
$162k most similar roles pay here $308k

This role pays more than 51% of similar roles. Most pay $192,562–$271,258 — the shaded band above. At the midpoint, this role pays about $235k versus about $232k for comparable roles.

Based on 240 similar postings.

Employer

About Pfizer

Pfizer Inc. is one of the world''s largest biopharmaceutical companies, researching, developing, manufacturing, and marketing medicines and vaccines across multiple therapeutic areas including oncology, cardiology, and infectious diseases. Industry: Biopharmaceuticals

Pfizer currently has 32 open roles on FindRole.

Listed pay typically runs $106,000–$176,600 across 32 roles with salary data.

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View all roles at Pfizer

At a glance

TL;DR · Director, Data Integration Engineer

The Director, Data Integration Engineer serves as an individual-contributor technical expert within the Engineering organization, specifically supporting the Medical Affairs AI Acceleration portfolio. This hands-on role involves designing, building, and operating production-grade data pipelines and integration layers that connect AI-enabled products to enterprise data sources. The engineer will implement RAG and vector-database patterns, manage data quality for LLM-based systems, and ensure compliance with privacy standards like GDPR and HIPAA. Key responsibilities include developing ETL/ELT pipelines, managing data latency, and performing PII masking or tokenization. Required skills include advanced SQL proficiency, experience with Snowflake, API design (REST/GraphQL), and integration with platforms like Veeva CRM or Salesforce. The role solves the critical challenge of providing reliable, governed access to complex medical data while ensuring seamless integration between AI capabilities and existing corporate infrastructure.

What you'll do

  • Design and build data pipelines and integration patterns connecting enterprise systems to Medical Affairs AI platforms.
  • Develop and maintain targeted pipelines to extract, transform, and serve specific data for various AI solutions.
  • Implement technical architectures for RAG pipelines, vector databases, and GraphRAG patterns.
  • Ensure all data feeding Agentic AI and LLM systems is governed, labeled, and monitored for quality.
  • Manage data pipeline latency and ensure information meets the required timeliness thresholds for each use case.
  • Apply data masking, tokenization, and de-identification to protect personal information in integration pipelines.
  • Maintain data dictionaries, lineage documentation, and playbooks in compliance with privacy regulations like GDPR and HIPAA.
  • Translate solution architecture and product requirements into production-grade, high-quality data engineering workflows.

What we're looking for

  • Bachelor's degree in Computer Science, Data Analytics, or a related field.
  • 8+ years of hands-on data engineering or application integration experience including building pipelines and APIs.
  • Advanced proficiency in SQL and experience building ETL/ELT pipelines.
  • Experience integrating with modern data platforms like Snowflake and using API design patterns (REST/GraphQL).
  • Experience supporting RAG pipelines, vector databases, and other AI/ML data access patterns.
  • Experience identifying and protecting personal information (PI/PII) through masking or de-identification in data pipelines.
  • Familiarity with data privacy standards (GDPR, HIPAA, GxP) and pharmaceutical industry compliance practices.
  • Work authorization in the United States.

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