Jobs / United States / CVS Pharmacy INC
Staff Data Engineer - UniVerse
CVS Pharmacy INC · 🇺🇸 6 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 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.
Or apply yourself on the official page →
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 The Staff Data Engineer will design, build, and support a near real-time transactional cache platform that enables APIs, digital experiences, and downstream services to consume operational data outside of the legacy UniVerse environment. The role is responsible for the end-to-end data flow from UniVerse through CDC replication into PostgreSQL, transformation and enrichment processes on GCP, and delivery of optimized data models within MongoDB Atlas. The ideal candidate will possess deep expertise in operational data platforms, CDC technologies, data replication, PostgreSQL, MongoDB, and cloud-native data engineering. This individual will serve as a technical leader responsible for architecture, implementation, performance optimization, reliability, and operational support of the transactional cache ecosystem. The platform is intended to reduce transactional workloads on UniVerse while providing scalable, near real-time access for APIs and services. What you will do • Lead the design and implementation of a near real-time transactional cache platform supporting APIs, applications, and digital experiences. • Design and support Change Data Capture (CDC) pipelines that replicate data from UniVerse into PostgreSQL using vendor-supported replication technologies. • Develop and maintain transformation pipelines that convert operational relational data into optimized MongoDB document structures. • Design and evolve MongoDB document models, indexing strategies, partitioning approaches, and query patterns to support high-throughput, low-latency API consumption. • Partner with API and application development teams to define and deliver cache-ready domain models that meet performance and scalability requirements. • Establish data freshness, latency, monitoring, and availability standards for transactional cache workloads. • Optimize PostgreSQL and MongoDB performance through schema design, indexing, query tuning, and capacity planning. • Own platform reliability, observability, troubleshooting, incident response, and operational support for production transactional cache environments. • Develop operational runbooks, monitoring dashboards, alerting strategies, and support procedures for production cache environments. • Provides technical leadership across multiple engineering teams, influences architecture decisions, establishes engineering standards, and drives strategic modernization initiatives. • Mentor engineers and establish engineering standards for CDC, operational data pipelines, and cloud-native data platforms. Required Qualifications • 7+ years of data engineering, software engineering, or data platform development experience. • 5+ years designing and implementing enterprise-scale data platforms and distributed systems. • Experience with UniVerse or UniData operational databases. • Proficiency in PICK BASIC, wIntegrate, Unix/Linux, and SDLC methodologies • Strong experience with Change Data Capture (CDC), replication technologies, and near real-time data movement patterns. • Experience designing operational data stores, transactional caches, or API-serving data platforms. • Strong Python and SQL development skills. • Experience developing and supporting production ETL/ELT pipelines. • Experience with Linux/Unix environments. • Ability to troubleshoot distri