Jobs / United States / CVS Pharmacy INC
Senior Data Engineering and AI Platforms
CVS Pharmacy INC · 🇺🇸 RI - Cumberland
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 191 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 217 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 CVS Pharmacy INC paid sponsored hires in similar roles4 certified filings for “Data Engineer” (Software Developers) in GA: $146k–$177k, median $158k. Most were filed at wage level IV (50%) — 4 lottery entries, ≈61% 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 — CVS Pharmacy INC
The US Department of Labor certified 191 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 217 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 CVS Pharmacy INC →
About the role
We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary At CVS Health, we are building a world of health around every individual by creating a more connected, convenient and compassionate health experience. The Senior Data Engineering and AI Platforms will lead teams that develop secure, resilient and reusable data capabilities supporting analytics, operational decision-making and intelligent experiences. This leader will translate business priorities into scalable engineering roadmaps, guide cloud and data architecture, and establish disciplined practices for data quality, observability, model enablement and production operations. The role partners across product, architecture, security, governance, data science and business teams to deliver trusted outcomes while prioritizing safety, quality and responsible use of AI. Job Responsibilities Engineering Strategy and Platform Delivery • Set the technical direction and multi-quarter roadmap for enterprise data products, ingestion services, transformation frameworks and AI-ready data foundations. • Lead the design and implementation of batch, streaming and event-driven solutions across cloud data platforms, balancing performance, reliability, maintainability and cost. • Guide modernization of legacy integrations and reporting ecosystems into modular, cloud-native services with well-defined interfaces and reusable engineering patterns. • Establish architecture guardrails for data modeling, storage, partitioning, orchestration, metadata, lineage and consumption layers. • Oversee delivery from discovery through production readiness, including estimation, dependency management, testing, release planning, support transition and measurable adoption. AI/ML and Intelligent Data Products • Partner with data scientists, ML engineers and product leaders to operationalize predictive, natural-language and generative AI use cases using governed enterprise data. • Enable production ML and LLM workloads through curated datasets, feature pipelines, retrieval patterns, evaluation data, model monitoring and repeatable deployment workflows. • Apply responsible AI practices, including traceability, human oversight, privacy safeguards, security review, explainability and ongoing quality assessment. • Evaluate emerging AI-assisted development and agentic engineering approaches, introducing them where they improve delivery while maintaining enterprise controls. • Promote experimentation through prototypes and proofs of value, then define the engineering path required to scale successful concepts safely. Data Quality, Security and Operational Excellence • Embed automated validation, reconciliation, anomaly detection and data-quality controls across critical pipelines and data products. • Implement observability that provides timely insight into freshness, completeness, failures, service health and downstream impact. • Ensure solutions follow privacy, security, access-control, retention, audit and regulatory expectations applicable to healthcare and enterprise data. • Define service objectives, incident response practices, recovery procedures and continuous-improvement routines for production platforms. • Drive DevSecOps and DataOps practices through source control, infrastructure automation, CI/CD, automated testing and environment promotion standards. People Leadership a