Data Engineer - GCP / AI / ML

At CVS Health, we’re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.

As the nation’s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues – caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.

Looking for candidates local to the Texas office location

CVS Health has a rich set of healthcare data for more than 150 million individuals and provides the best foundation for any ambitious data engineer. As a member of the Data and Analytics organization, you will be responsible for designing, building, and maintaining best-in-class data engineering pipelines aimed at driving best-in-class solutions primarily using Cloud platforms like GCP(or Azure). You will collaborate with cross-functional teams, including data scientists, analysts, business SME’s and software engineers, to ensure the efficient and reliable processing, storage, and retrieval of data. You will Provide best-in-class environment where everyone brings their heart to work to build technical solutions to support customers.

As a  Data Engineer  you will :

• 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, Azure, 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.
• Build data pipelines using Azure / GCP platform

Required Qualifications

1–2 years of related work experience, including :

Preferred Qualifications

Education

Bachelor's degree or equivalent work experience in Computer Science, Engineering, Machine Learning (STEM field) or related discipline Master’s degree or PhD preferred

Anticipated Weekly Hours

Time Type

Full time

Pay Range

The typical pay range for this role is :

72,100.00 - $144,200.00

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

We anticipate the application window for this opening will close on : 10 / 31 / 2025

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