Jobs / United States / CVS Pharmacy INC
Senior Data Engineer - PostgreSQL and MongoDB
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.
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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 Senior Data Engineer - PostgreSQL and MongoDB 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. This role is responsible for developing and supporting data flows 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 strong expertise in operational data platforms, CDC technologies, data replication, PostgreSQL, MongoDB, and cloud-native data engineering. This individual will contribute to the design, 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 • Design, develop, and support a near real-time transactional cache platform supporting APIs, applications, and digital experiences. • Build and maintain Change Data Capture (CDC) pipelines that replicate data from UniVerse into PostgreSQL using vendor-supported replication technologies. • Develop and support transformation pipelines that convert operational relational data into optimized MongoDB document structures. • Implement and support 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. • Monitor and improve data freshness, latency, availability, and reliability of transactional cache workloads. • Optimize PostgreSQL and MongoDB performance through schema design, indexing, query tuning, and capacity planning. • Troubleshoot production issues and participate in operational support, incident response, and root cause analysis activities. • Develop and maintain operational runbooks, monitoring dashboards, alerting strategies, and support procedures. • Collaborate with architects, senior engineers, and cross-functional teams to implement scalable and maintainable data platform solutions. • Contribute to engineering best practices, code reviews, documentation, and continuous improvement initiatives. • Mentor junior engineers and share knowledge related to CDC, data pipelines, and cloud-native data engineering practices. Required Qualifications • 5+ years of data engineering, software engineering, or data platform development experience. • 3+ years designing, developing, and supporting enterprise-scale data platforms and distributed systems. • Strong MongoDB Atlas /PostgreSQL experience including data modeling, aggregation frameworks, index design, and performance optimization. • Experience with Change Data Capture (CDC), replication technologies, and near real-time data movement patterns. • Experience designing and supporting operational data stores, transactional caches, or API-serving data platforms. • Strong Python and SQL development skills. • Experience with GCP services including Cloud SQL, Dataproc Serverless, Cloud Composer (Airflow), Monito