Associate Data Engineer If you're eager to make a real impact in the health care industry through your own meaningful contributions, explore a role in technology with CVS Health. Our journey calls for technical innovators and data visionaries: come help us pave the way. At CVS Health, we possess an extensive repository of healthcare data that spans over 150 million individuals, providing an unparalleled foundation for ambitious Data Engineers. In this role, you will engage with complex business challenges, harnessing modern tools and technologies to securely store, process, transform, and enrich terabyte to petabyte scale healthcare data. Your work will underpin data-driven business decisions and contribute to our mission of delivering industry-best data products / software with a customer-first mindset and team-oriented approach. As an Associate Data Engineer, you will be instrumental in designing, developing, and maintaining optimal data pipelines to assemble large and intricate datasets, catering to the business requirements of various CVS lines of business. Collaborating closely with teams, you will craft tools to provide actionable insights and integrate them with consumer touchpoints. As an Associate Cloud Data Engineer, you will be responsible for the following: Develop, deploy, and maintain robust data pipelines on Google Cloud Platform (GCP), leveraging services like BigQuery and Composer (Apache Airflow). Translate existing legacy programs and data processes into efficient, scalable Python-based solutions for migration to GCP. Collaborate with cross-functional teams to understand data requirements, troubleshoot issues, and ensure seamless data flow and service delivery. Focus on data quality, integrity, and reliability throughout the data lifecycle, implementing best practices for monitoring and validation. As leaders in healthcare, our analytics and engineering teams deliver innovative solutions to business problems by collaborating with cross-functional teams in a dynamic and agile environment. You will be part of a team that values collaboration and encourages innovative thinking at all levels. You will be intellectually challenged to solve problems associated with large scale complex, structured and unstructured data, that will allow you to grow your technical skills and engineering expertise. Required Qualifications: Experience with SQL/NoSQL Python (or a comparable scripting language) Data warehouses (such as data modeling and technical architectures) and infrastructure components ETL/ELT, and building high-volume data pipelines Reporting/analytic tools Query optimization, data structures, transformation, metadata, dependency, and workload management Big data and cloud architecture Preferred Qualifications: Experience in designing and building data engineering solutions in cloud environments (preferably GCP) Experience in Python or a comparable scripting language and shell scripting. Experience in creating SQL based processes. Experience with Jenkins, Git, CI/CD pipeline, and other DevOps principles/best practices Understanding of software development methodologies including waterfall and agile. Strong collaboration and communication skills within and across teams Google Professional Data Engineer Certification Education: Bachelor's Degree or equivalent work experience in Computer Science, Information Systems, Engineering, Data Science, Machine Learning, or related field required Anticipated Weekly Hours: 40 Time Type: Full time Pay Range: $61,800.00 - $123,600.00 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 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. 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.