Jobs / United States / Pfizer INC
Data Integration & Systems Senior Engineer
Pfizer INC · 🇺🇸 2 Locations
Sponsorship verdict
Sponsorship possible
One solid signal, not two — worth applying, and worth asking about sponsorship early.
- Employer is on a government sponsor recordThe US Department of Labor certified 40 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 9 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
- What Pfizer INC paid sponsored hires in similar roles2 certified filings for “SR. MANAGER SOLUTION DELIVERY” (Computer and Information Systems Managers) in TX: $121k–$121k, median $121k. Most were filed at wage level I (100%) — 1 lottery entry, ≈15% projected selection odds for cap-subject employers. Source: US Department of Labor LCA disclosure data (Oct 2025 – Jun 2026).
- Confirmed live todayWhen a source last listed this job as open.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
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Sponsor Radar — Pfizer INC
The US Department of Labor certified 40 H-1B/E-3 labor condition applications for this employer between Oct 2025 and Jun 2026 (latest Jun 2026) — the step every H-1B hire needs first. USCIS also records 9 H-1B approvals in FY2023. Source: LCA disclosure data (US Department of Labor (OFLC)).
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Pfizer INC →
About the role
The Digital and Automation Data Integration & Systems Senior Engineer drives and contributes to the reliable, compliant, and efficient use of data across site Digital and Automation environments. The role focuses on focuses on coordinating execution of site-level data strategy, data standards, and system integrations in line with broader network strategies and global standards. The role also enables AI adoption by ensuring data foundations and supporting the deployment and scaling of AI-driven use cases across site operations. This role drives and contributes to day-to-day execution, lifecycle, and project activities related to data systems, historians, integrations, and local applications. Working closely with system owners, engineering, project teams, validation, and business stakeholders, this role enables and optimises consistent data flows across core platforms while maintaining compliance, validation, and inspection readiness. The Senior Engineer provides technical guidance within defined scope, escalating to the DIS Team Lead where cross-site or strategic alignment is required. Responsibilities • Data Strategy, Standards & Governance • Coordinate and contribute to the development, documentation, and execution of the site end-to-end data strategy in alignment with network direction. • Apply and reinforce data standards, enhancing deployment and adherence to ensure consistency, integrity, and compliance in how data is structured, stored, and used. • Ensure data-related work is executed in line with applicable quality, validation, cybersecurity, and regulatory requirements, following established SOPs and governance processes. • Contributes to and interprets global data standards for local implementation by providing site operational knowledge • undefined • System Integration & Data Flow Enablement • Design, execute and support core system integrations, ensuring optimised, secure, and compliant data flow and connectivity across system layers • Monitor and support data connectivity, proactively identifying and resolving integration issues, data quality gaps, or performance risks within defined scope, escalating where appropriate. • Execute and improve implementation, configuration, and lifecycle management of site historians and data platforms to enable operational reporting, analytics, and continuous improvement. • Develop, enhance and rationalise local application lifecycle management, including development, configuration, upgrade, enhancements, rationalization, retirement and archiving as well as connectivity to data sources • Maintain accurate asset, configuration, and data mapping documentation to support lifecycle management, validation, and inspection readiness. • Participate in incident, deviation, and recovery activities to ensure timely restoration of services while maintaining data integrity and validated state control. • Provide technical review and guidance on integration and solution design decisions within site scope. • undefined • AI, Analytics & Innovation Enablement • Partner with site operational, process teams and digital innovation teams to implement data-driven use cases, translating business problems into data requirements. • Enable use of data for analytics, AI, and innovation initiatives by ensuring data availability, reliability, and alignment to defined standards. • Support scaling and industrialization of AI and analytics use cases. • Key Attributes, Skills & Competencies • Strong knowledge of data architecture, system integration patterns, and data lifecycle management • Fluent in English and Chinese • Understands and applies data governance and quality principles and their application in manufacturing environments — accuracy, completeness, traceability, and timeliness. • Strong