Description

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
Designs, builds, and maintains the data infrastructure that supports the organization's data-related initiatives. Collaborates with cross-functional teams, including data scientists, analysts, and software engineers, to ensure the efficient and reliable processing, storage, and retrieval of data. Develops scalable data pipelines, optimizes data workflows, and ensures the quality and integrity of the data.

• Designs scalable and efficient data pipelines to extract, transform, and load data from various sources into data warehouses or data lakes.
• Develops data pipelines that enable efficient data storage, retrieval, and analysis.
• Implements data validation and quality checks to identify and address data anomalies or errors.
• Designs data warehousing and data lake solutions that facilitate data storage, retrieval, and analysis.
• Documents data engineering processes, workflows, and systems for reference and knowledge-sharing purposes.
• Implements data quality checks and validation processes to ensure the accuracy, completeness, and consistency of the data.
• Identifies opportunities to streamline data engineering processes, improve efficiency, and enhance the quality of deliverables.
• Provides guidance and mentorship to junior data engineers to help them develop their technical skills and grow in their roles.
• Manage and support production platform to ensure the quality, performance, and availability of the services that meets business requirements for various CVS Lines of Business
• Identify, design, and implement engineering process improvements through automating manual processes, optimizing data pipelines, re-designing services for greater scalability
• Required to support an on call 24 x 7 cloud Production Environment supporting and administering products & Services involving platform technologies like GCP, Hadoop, etc.
• Work hands-on with customers to develop, migrate, and debug services issues
• Ensure server/process documentation is up to date and appropriate or create documentation where none may exist
• Tier 2 triage, troubleshooting, remediation, and escalation of tickets tied to the product support function

Required Qualifications
• 0-3 years of experience with Python
• 0-3 years of experience with SQL
• 0-3 years of experience with ETL
• 0-3 years of experience with a major cloud platform (GCP, AWS, Azure)

Preferred Qualifications
• Experience in GCP (Big Query, GCS, Pub/Sub, DataProc, Airflow/Composer etc.)
• Hands-on experience with languages like Python, PySpark, SQL, UNIX/Linux scripting to access, extract, manipulate and summarize data
• Experience with Hadoop, HQL or UNIX DB2 helpful.
• Strong understanding of query optimization, data structures, transformation, metadata, dependency, workload management, source code management tools i.e. GitHub, PVCS
• Experience with Cloud based tech stack and Cloud components including cluster management, Kubernetes, or other containerized services, storage, and workspace management
• Experience working in multi-developer environment, using version control (i.e. Git).
• Certified Cloud Engineer in Data engineering track: GCP preferred
• Good articulation in communicating complex technical subjects to non-technical audience
• Working experience with automation and orchestration tools
• Knowledge of storage, networking, and IAM services on the cloud (GCP preferred)
• Experience with modern API and microservice patterns
• Knowledge and working experience in agile frameworks like Scrum. Kanban etc.
• Familiarity in Healthcare / Insurance industry

Education
Bachelor's degree and equivalent work experience in Computer Science, Engineering, Machine Learning, or related discipline

Anticipated Weekly Hours
40

Time Type
Full time

Pay Range

The typical pay range for this role is:

$79,310.00 - $158,620.00

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 our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:

• Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.
• No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
• Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.

For more information, visit https://jobs.cvshealth.com/us/en/benefits

We anticipate the application window for this opening will close on: 03/17/2026

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