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Job Summary:
CVS Health is the nation’s leading health solutions company, committed to transforming healthcare for millions of Americans. They are seeking a Data Engineer to design, build, and maintain data engineering pipelines primarily using cloud platforms like GCP and Azure, while collaborating with cross-functional teams to ensure efficient data processing and storage.
Responsibilities:
• Manage and support production platform to ensure the quality, performance, and availability of the services that meets business requirements for various CVS Lines of Business
• Identify, design, and implement engineering process improvements through automating manual processes, optimizing data pipelines, re-designing services for greater scalability.
• Required to support an on call 24 x 7 cloud Production Environment supporting and administering products & Services involving platform technologies like GCP, Azure, etc. -Work hands-on with customers to develop, migrate, and debug services issues.
• Ensure server/process documentation is up to date and appropriate or create documentation where none may exist.
• Tier 2 triage, troubleshooting, remediation, and escalation of tickets tied to the product support function.
• Build data pipelines using Azure/GCP platform
Qualifications:
Required:
• 1–2 years of related work experience
• Experience with cloud platforms: Azure and/or GCP (BigQuery, GCS, Pub/Sub, DataProc, Airflow/Composer, Snowflake, Azure Cloud Services)
• Proficiency in Unix/Shell scripting
• Hands-on experience with Python and SQL
• Experience building robust data pipelines focused on data integration and data quality
• Exposure to AI/ML workflows, including data preparation for model training and inference
• Exposure to Gen AI Tech stack with Open AI API & Hosted model endpoint Integration
• Bachelor's degree or equivalent work experience in Computer Science, Engineering, Machine Learning (STEM field) or related discipline
Preferred:
• Experience with ServiceNow ticketing system
• Proven ability to design and build data engineering solutions in cloud environments (preferably Azure/GCP)
• Strong programming skills in: Python, PySpark, SQL, UNIX/Linux scripting
• Deep understanding of: Query optimization, data structures, transformations, metadata, dependency management, and workload orchestration
• Familiarity with CI/CD pipelines and DevOps best practices
• Experience with cloud-native technologies: Cluster management, Kubernetes, containerized services, cloud storage, workspace management
• Collaborative experience in multi-developer environments using version control (e.g., Git)
• Cloud certification in data engineering (Azure or GCP preferred)
• Strong communication skills for translating technical concepts to non-technical audiences
• Experience with automation and orchestration tools
• Knowledge of modern API and microservice architectures
• Familiarity with Agile frameworks (Scrum, Kanban)
• Domain knowledge in Retail, Healthcare, or Insurance, especially Healthcare industry
• Experience supporting AI/ML initiatives, such as: Feature engineering, model deployment pipelines, and integration with MLOps platforms
• Working with AI frameworks (e.g., TensorFlow, PyTorch) or ML libraries (e.g., scikit-learn, MLflow)
• Experience with Multi Agentic AI Tech Stack (i.e. Pydantic AI , Lang chain, Lang Graph) with exposure to Agent to Agent Protocol / Model Context protocol
• Master’s degree or PhD
Company:
CVS Health is a health solutions company that provides an integrated healthcare services to its members. Founded in 1963, headquartered in Woonsocket, Rhode Island, USA, team size 10001+ employees, currently Public Company. CVS Health has a track record of offering H1B sponsorships.
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