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.A Brief OverviewDesigns, 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.What you will do
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.
For this role you will need Minimum Requirements
2+ years work experience designing, developing and maintaining optimal data pipeline to assemble large & complex data sets that meets analytics and business requirements
Education
Bachelor's Degree
Pay RangeThe typical pay range for this role is:$72,100.00 - $144,200.00This 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 (https://jobs.cvshealth.com/us/en/benefits)We anticipate the application window for this opening will close on: 10/16/2024Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.We are an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.