Innovation, Data & Analytics Team, Data Engineer

Job summary

Build and maintain production data pipelines to support AI-based workflows and ensure high-quality data for downstream analytics. Collaborate with data scientists and engineers to implement canonical data models and optimize pipeline performance.

Job details

ROLE 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. ROLE 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. Learn more at Pfizer Candidate Site – U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States. This role is posted in multiple locations. If you are applying for the role in an secondary job posting location where pay transparency regulations apply, your Talent Advisor will share the local pay information with you during the first interview. Relocation assistance may be available based on business needs and/or eligibility. Candidates must be authorized to be employed in the U.S. by any employer. U.S. work visa sponsorship (such as TN, O-1, H-1B, etc.) is not available for this role now or in the future. Sunshine Act Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider’s name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. EEO & Employment Eligibility Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States. Pfizer endeavors to make www.pfizer.com/careers [http://www.pfizer.com/careers] accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email disabilityrecruitment@pfizer.com [disabilityrecruitment@pfizer.com]. This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned. To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available on Pfizer Careers [https://www.pfizer.com/about/careers/ai-use-guidelines]. Marketing and Market Research

What you’ll do

Build and maintain production data pipelines to support AI-based workflows and ensure high-quality data for downstream analytics. Collaborate with data scientists and engineers to implement canonical data models and optimize pipeline performance.

Requirements

Requires a degree in Computer Science, Data Engineering, or a related field with 5-6 years of relevant experience. Strong proficiency in SQL, Python, and cloud data platforms like Databricks or Snowflake is essential.

Benefits

• 401(k) plan • Pfizer matching contributions • Pfizer retirement savings contribution • Paid vacation • Paid holiday • Paid personal days • Paid caregiver leave • Paid parental leave • Paid medical leave • Medical coverage • Prescription drug coverage • Dental coverage • Vision coverage • Share based long term incentive program

Listed skills

• SQL · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Data engineering
• SQL
• Python
• Databricks
• Snowflake
• ETL/ELT pipelines
• Healthcare data
• EHR
• OMOP
• HEDIS
• Data modeling
• Cloud data platforms
• Data quality
• Pipeline architecture
• Analytical modeling
• Agentic workflows
• Pipelines
• Decisiveness
• Change Agility
• Agentic Systems
• Workflow Management
• Snowflake (Data Warehouse)
• Schema Markup
• Artificial Intelligence
• Data Analysis
• Auditing
• Medical Records
• Computer Science
• Information Systems
• Continuous Improvement Process
• Data Engineering
• Data Infrastructure
• Extract Transform Load (ETL)
• Data Modeling
• Data Quality
• Incident Response
• English Language
• Governance
• Patient Safety
• HEDIS (Healthcare Effectiveness Data And Information Set)
• Marketing
• Innovation
• Python (Programming Language)
• Machine Learning
• Maintainability
• Market Research
• Operational Databases
• Pharmaceuticals
• Caregiving
• SQL (Programming Language)

Job areas

• Data & Analytics
• Technology
• Engineering
• Healthcare
• Science & Research
• Data Analytics Engineer
• Data Analyst
• Statistical, Mathematical and Related Associate Professionals
• Business Intelligence Analysts
• Data Scientists