Medical Analytics Data Engineer
Job Description
Build scalable analytics foundations that help data scientists develop care gap and HCP prioritization models with efficient, standards-adherent data engineering. This remote role in New York, NY supports medical analytics development through data products and cross-team partnerships, with opportunities to modernize infrastructure and improve operational efficiency.
Salary range: USD 124,400 - 207,400 per year. Work model: New York, NY (remote). Experience: 5+ years. Education: BA/BS degree.
What you’ll do
- Design, develop, optimize, and maintain data architecture and pipelines, including feeding medical data sources into a data lake for ongoing projects.
- Partner with a product manager and data lead to build technical architectures that support analytical models.
- Identify analytics data inputs needed for use cases such as unmet need analysis (for example, claims data).
- Gather, prepare, and maintain datasets required to perform analytics.
- Oversee data systems in close collaboration with the data management lead, ensuring accurate collection, storage, and processing.
- Enhance the data infrastructure for scalability and optimize data delivery, including automating manual processes to retrieve medical data.
- Solve complex data problems to deliver insights that enable the team’s required analytics.
- Create data products for the analytics and data scientist teams to improve productivity and collaboration.
- Advise, consult, mentor, and coach data and analytics colleagues on data standards and practices.
- Help foster a culture focused on sharing, re-use, design for scale stability, and operational efficiency for data and analytics solutions.
- Lead evaluation, implementation, and deployment of emerging tools and analytical data engineering processes to improve team productivity.
What you bring
- Demonstrated breadth of diverse leadership experience, including the ability to influence and collaborate with peers, coach others, and guide colleagues to meaningful outcomes and business impact.
- Degree in Computer Sciences, Statistics, Clinical Informatics, or similar.
- Relevant certification and/or work experience in data engineering.
- BA/BS degree with 6+ years of data engineering experience, notably in healthcare, or 5+ years experience with an MBA/MS.
- Proven effectiveness in cross-functional environments and strong influencing skills.
- Strong interpersonal skills to build rapport and credibility with Pfizer leaders and key external stakeholders.
- Ability to partner cross culturally/regionally.
- Effective English verbal and written communication across scientific/technical, promotional, patient/consumer, regulatory, and media contexts, with a focus on clarity and compliance.
- In-depth understanding of pharmaceutical medicine business including clinical trial design, GCP, data interpretation, drug development, and regulatory and promotional rules/guidance, legal and compliance, issue management, and business development opportunity evaluations.
- Experience with Infrastructure as code, data warehousing, Apache Airflow, Kafka or similar streaming data engineering tools.
- Experience with Databricks and/or DSS Data Science Studio (Dataiku).
- Understanding of taxonomy structures and hierarchy.
- Experience implementing methods including Tag Management Solutions such as Tealium iQ (primarily) plus GTM, Adobe Launch, Dynamic Tag Manager, or Ensighten.
- Ability to work with multiple tag managers and write JavaScript code.
- Marketing performance analysis experience using data aggregation (marketing and click-stream APIs), data cleaning, and transformation.
- Knowledge of digital analytics, especially clickstream data, Adobe and/or Google Analytics, and Drupal platforms.
- Working knowledge of Adobe Analytics, Google Analytics, /Omniture SiteCatalyst, Matomo/Piwik.
- Experience with tag managers (Tealium IQ, Adobe Launch/DTM, Google Tag Manager, Piwik Pro, Signal/Bright Tag) and tag debugging tools such as Charles Proxy.
- Programming languages: JavaScript, jQuery. Markup languages: HTML, CS.
- 1+ years in a client-facing role for solutioning and/or evangelizing technology approaches.
Benefits
- 401(k) plan with Pfizer matching contributions
- Additional Pfizer retirement savings contribution
- Paid vacation, holiday and personal days
- Paid caregiver/parental and medical leave
- Health benefits including medical, prescription drug, dental and vision coverage
- Eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 17.5% of base salary
- Eligibility to participate in a share-based long term incentive program
- Eligible for Relocation Package: No
Additional details
- Travel: as required, up to 40% of role.
- Last day to apply: August 18, 2026
- Additional location: United States; Remote | #LI-PFE
- Relocation package: No
- U.S. work visa sponsorship (TN, O-1, H-1B, etc.) is not available for this role now or in the future.
- Candidates must be authorized to be employed in the U.S. by any employer.
- Pfizer is an E-Verify employer.
Sunshine Act: Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws.
EEO & Employment Eligibility: Pfizer is committed to equal opportunity employment. This position requires permanent work authorization in the United States. If you need assistance completing the application process or interviewing, email [email protected].