Data Engineer at CVS Health in Buffalo Grove, IL

Summary: CVS Health is dedicated to building a world of health around every individual. They are seeking a Data Engineer to design, develop, and maintain data pipelines that support various business requirements, leveraging extensive healthcare data to drive data-driven decisions. Responsibilities: - Designing, developing, and maintaining optimal data pipelines to assemble large and intricate datasets - Collaborating closely with teams to craft tools that provide actionable insights and integrate them with consumer touchpoints - Solving problems associated with large scale complex, structured and unstructured data Required Qualifications: - 1+ years of experience with SQL, NoSQL - 1+ years of experience with Python - 1+ years of experience with Data warehouses (such as data modeling and technical architectures) and infrastructure components - 1+ years of experience with ETL/ELT, and building high-volume data pipelines - 1+ year experience designing and building data engineering solutions in cloud environments (preferably GCP, open to AWS or Azure) - 1+ years of experience with reporting/analytic tools - 1+ years of experience with query optimization, data structures, transformation, metadata, dependency, and workload management - 1+ years of experience with Big data and cloud architecture - Bachelor's Degree or equivalent work experience in Computer Science, Information Systems, Data Engineering, Data Analytics, Machine Learning, or related field required Preferred Qualifications: - Experience building Agentic AI solutions - Experience with complex systems and solving challenging analytical problems - Strong collaboration and communication skills within and across teams - Experience with Git, CI/CD pipeline, and other DevOps principles/best practices - Experience with bash shell scripts, UNIX utilities & UNIX Commands - Understanding of software development methodologies including waterfall and agile - Ability to leverage multiple tools and programming languages to analyze and manipulate data sets from disparate data sources - Knowledge of API development - Google Professional Data Engineer Certification - Knowledge of microservices and SOA - Formal SAFe and/or agile experience - Previous healthcare experience and domain knowledge - Master's Degree preferred Required Skills: SQL, Python, ETL/ELT, Data warehouses Important Skills: Cloud environments, Big data architecture, Reporting tools Nice-to-Have Skills: Git, API development, Microservices, Healthcare experience, Collaboration skills, Communication skills Benefits: Affordable medical plan options, 401(k) plan (including matching company contributions), Employee stock purchase plan, No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching, Paid time off, Flexible work schedules, Family leave, Dependent care resources, Colleague assistance programs, Tuition assistance, Retiree medical access