Jobs at CVS Health

Design, develop, upgrade, test, and deploy software applications and platforms supporting healthcare processes. Participate in Agile/Scrum, CI/CD, code review, mentor junior engineers, and collaborate cross-functionally to ensure performance, reliability, and maintainability.

Design, develop, upgrade, test, and deploy software applications and platforms supporting digital healthcare solutions. Perform data analytics on large datasets, build ETL/data pipelines, design data architectures and ML infrastructure, write high-quality code, participate in Agile/CI/CD processes, and collaborate with cross-functional teams to support applications processing prescriptions, claims, and related healthcare activities.

Design, build, and maintain large-scale data structures, ETL pipelines, and data marts for real-time and batch analytics. Collaborate with Data Science to productionize models, ensure data quality and accessibility, troubleshoot systems, and recommend tooling and architecture improvements.

Design, build, and maintain large-scale data structures, ETL pipelines, and data models on cloud platforms (GCP/BigQuery, AWS, Azure). Collaborate with Data Science to integrate models, ensure data quality, troubleshoot systems, and support analytics modernization.

Design, build, and manage large-scale data structures, ETL pipelines, and data architectures for analytics and reporting. Integrate data science models, ensure data quality and interoperability, troubleshoot systems, and recommend tooling and solutions to support analytics and business applications in a healthcare environment.

Develop and deploy analytics applications and predictive models using machine learning, NLP, and statistical methods on large healthcare datasets. Build data architectures, ETL pipelines, MLOps practices, visualizations, and support model deployment and monitoring to inform business and clinical decisions.

Develop and implement analytics applications and predictive models using machine learning, NLP, and big-data tools. Source and profile healthcare data, build scalable ingestion pipelines, evaluate models, visualize results, and support deployment across channels to inform clinical and business decisions (pharmacy pricing, medical costs, risk scoring, customer engagement).

Lead and manage IT software projects and teams, ensuring schedule and scope adherence. Plan application development for performance, reliability, and maintainability. Prepare technical design documentation, monitor milestones and deliverables, support systems processing prescriptions and claims, collaborate on requirements, code review, QA and SDLC practices, and mentor junior team members.

Design, build, and manage large-scale data structures, pipelines, and ETL workflows. Develop real-time and batch processing, integrate data for analytics and ML, collaborate with Data Science to productionize models, ensure data quality and accessibility, and recommend tools and architectures for scalable data solutions.

Design, build, and manage large-scale data warehouses, ETL pipelines, and data marts. Develop ETL processes, optimize SQL and database performance, integrate data science models, ensure data quality and accessibility, and mentor junior engineers while leading complex solutions.

Design, build, and manage large-scale data structures, pipelines, and ETL workflows. Integrate data for analytics and Data Science, optimize Hadoop/HDFS processes, develop data marts and models, ensure data quality and accessibility, and evaluate/adopt tooling for real-time and offline processing.

Lead and deliver a portfolio of Data, AI, and ML products for retail pharmacy growth and operations. Define AI strategy toward agentic automation, architect cloud-native ML solutions, enforce security and HIPAA-compliant data governance, scale Claude Skills and MCP integrations, run engineering standards and CI/CD/DataOps, and grow high-performing engineering teams while partnering with senior stakeholders to drive measurable business outcomes.

Provide high-quality, evidence-based care as an LPN/LVN: assess patients, administer medications and vaccines, perform phlebotomy and point-of-care testing, document in EMR, conduct mental health screenings, coordinate care, and communicate with patients and interdisciplinary teams to improve outcomes.

Lead a workstream on enterprise marketing measurement: design experiments and models (MMM, incrementality, attribution), run large-scale analyses, deliver production-grade solutions, present findings to senior stakeholders, and mentor junior data scientists.

The Principal Software Engineer leads a team to develop full-stack real-time applications, integrates machine learning models, and influences software architecture in cloud environments while supporting healthcare analytics.

The Lead Director of Software Engineering will oversee the Health100 platform's development, drive innovation, lead cross-functional teams, and manage strategic engineering initiatives while ensuring high-quality delivery and stakeholder alignment.

Build and scale Health100's consumer growth engine: define and execute full-funnel strategies for awareness, acquisition, onboarding, engagement, and retention; hire and run the marketing team; use experimentation and performance analytics; integrate with Product, Digital, Analytics, agencies, and CVS marketing; produce executive-ready reporting.

Lead and scale Health100partner growth and marketing: define B2B narrative, build demand generation and sales enablement, drive pipeline and partner adoption, create executive-ready materials, and build the partner marketing team and operating model.

Design and implement mainframe-based software for claims processing using COBOL, CICS, DB2 and related tools. Architect solutions, write and test code, debug, perform code reviews, integrate systems, and produce technical documentation. Work in Agile teams, collaborate with stakeholders and offshore vendors, and support claim adjudication and payment processes.

Manage end-to-end reasonable accommodation processes under ADA/ADAAA and related laws. Conduct individualized assessments, review medical documentation, partner with HR, managers and Legal to implement accommodations, coach leaders on compliance and best practices, maintain confidential case documentation, and enhance the employee relations experience.