Data Engineer - Provider Selection Analytics

Bring your heart to CVS Health. Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver. Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable. Position Summary As a Data Engineer at CVS Health, you will be responsible for designing, building, and maintaining complex data pipelines and systems. You will collaborate with cross-functional teams to define data requirements, ensure data quality and accessibility, and utilize emerging data technologies to optimize data processes and infrastructure to support our evolving engineering projects. Required Qualifications 2+ years of experience with designing and building data pipelines and systems in cloud environments (preferably Google Cloud Platform) 2+ years of experience in one or more modern languages, such as Python, Java, C#, JavaScript, etc. 2+ years of experience with SQL/NoSQL databases Preferred Qualifications Effective written and verbal communication skills within and across teams Experience with complex systems and solving challenging analytical problems Experience with Jenkins, Git, CI/CD pipeline, and other DevOps principles/best practices Knowledge in GCP architecture, commands and experience designing & optimizing data engineering patterns in the GCP environment Ability to leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sources Previous healthcare knowledge and experience Education Bachelor’s Degree or equivalent work experience in Computer Science, Information Systems, Data Engineering, Data Analytics, Machine Learning, or related field required. Master’s Degree preferred. Pay Range The typical pay range for this role is: $72,100.00 - $173,040.00 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. In addition to your compensation, enjoy the rewards of an organization that puts our heart into caring for our colleagues and our communities. The Company offers a full range of medical, dental, and vision benefits. Eligible employees may enroll in the Company’s 401(k) retirement savings plan, and an Employee Stock Purchase Plan is also available for eligible employees. The Company provides a fully-paid term life insurance plan to eligible employees, and short-term and long term disability benefits. CVS Health also offers numerous well-being programs, education assistance, free development courses, a CVS store discount, and discount programs with participating partners. As for time off, Company employees enjoy Paid Time Off (“PTO”) or vacation pay, as well as paid holidays throughout the calendar year. Number of paid holidays, sick time and other time off are provided consistent with relevant state law and Company policies. For more detailed information on available benefits, please visit Benefits | CVS Health We anticipate the application window for this opening will close on: 02/14/2025 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws. Our Work Experience is the combination of everything that's unique about us: our culture, our core values, our company meetings, our commitment to sustainability, our recognition programs, but most importantly, it's our people. Our employees are self-disciplined, hard working, curious, trustworthy, humble, and truthful. They make choices according to what is best for the team, they live for opportunities to collaborate and make a difference, and they make us the #1 Top Workplace in the area.

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