Junior Data Engineer - GCP/AI/ML

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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.