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 ourselvesaccountable 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 Infrastructure Specialist – Data & Cloud Platforms will Own the design, automation, and operational support of cloud infrastructure and data platforms, ensuring scalable, secure, and highly available environments that support enterprise data and analytics workloads

• Partner closely with Infrastructure and DBA teams to execute SQL Server upgrades, migrations, patching, and monitoring, while proactively managing performance at the server, database, and query levels to maintain platform stability and reliability

• Ensure solutions meet performance, security, compliance, and operational readiness standards, minimizing business disruption through disciplined change management, testing, and ongoing monitoring

Required Qualifications

• 4 or more years of experience designing, building, or maintaining ETL or data pipelines (batch or streaming) used for analytics, reporting, or data integration.

• 5 or more years working with SQL Server or another enterprise relational database, including complex SQL and/or ETL integration.

• 4 or more years supporting cloud‑enabled data or analytics platforms, using AWS, Azure, or GCP services (e.g., cloud storage, compute, managed databases, or data pipelines).

• 5 or more years as an individual contributor supporting production data or analytics solutions used by business stakeholders, with responsibility for reliability, data quality, and delivery.

Preferred Qualifications

• Design and automate cloud infrastructure and data platform deployments, ensuring highly available, scalable, and secure environments supporting enterprise data and analytics workloads

• Develop and maintain automation and ETL support scripts used for data movement, operational monitoring, validation, and platform maintenance (not analyst‑driven reporting)

• Optimize system reliability through load balancing, network tuning, capacity planning, and proactive monitoring across compute, storage, and data platforms

• Conduct end-to-end cloud system testing to validate performance, security controls, resilience, and regulatory compliance prior to production releases

• Partner closely with Infrastructure and DBA teams to plan and execute SQL Server upgrades, migrations, patching, and platform monitoring across non‑production and production environments

• Ensure proactive performance management at the server, database, and query levels by identifying bottlenecks, tuning workloads, and validating configuration standards.

• Support enterprise availability and resilience goals by participating in maintenance planning, release coordination, and incident response activities

• Minimize business disruption through disciplined change control, deployment validation, rollback planning, and post‑implementation review

• Demonstrated ability to independently own and solve complex problems, quickly learn new technologies, and drive outcomes as an individual contributor without direct people management

• Solid understanding of enterprise data, data flows, and how analytics and reporting support operational processes and business decision‑making

• Proven ability to translate business requirements into well‑designed, scalable technical solutions, managing deliverables, timelines, and quality with limited oversight

• Ability to provide informal technical guidance, share best practices, and support peer development without formal supervisory responsibility

• Hands‑on experience building AI-Ready data solutions support analytics, reporting, documentation, or workflow automation in an enterprise environment

• Experience designing and delivering data visualizations and dashboards using Tableau and/or Power BI, with an emphasis on usability, clarity, and executive‑level storytelling

• Experience working with healthcare data domains (e.g., claims, pharmacy, clinical, provider, or operational data), including familiarity with data quality considerations and regulatory sensitivity

Education

• Bachelor's degree in data analytics, computer science or equivalent experience required

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The typical pay range for this role is:

$60,300.00 - $132,600.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.

Additional details about available benefits are provided during the application process and on Benefits Moments.

We anticipate the application window for this opening will close on: 05/31/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.