Senior Data Engineer - PostgreSQL and MongoDB

CVS Health is hiring a Senior Data Engineer to design, build, and support a near-real-time transactional cache platform for APIs, digital experiences, and downstream services. The role develops CDC data flows from UniVerse through PostgreSQL and GCP to MongoDB Atlas, while optimizing platform performance, reliability, and operational support.

Responsibilities:

• Design, develop, and support a near real-time transactional cache platform supporting APIs, applications, and digital experiences
• Build and maintain Change Data Capture (CDC) pipelines that replicate data from UniVerse into PostgreSQL using vendor-supported replication technologies
• Develop and support transformation pipelines that convert operational relational data into optimized MongoDB document structures
• Implement and support MongoDB document models, indexing strategies, partitioning approaches, and query patterns to support high-throughput, low-latency API consumption
• Partner with API and application development teams to define and deliver cache-ready domain models that meet performance and scalability requirements
• Monitor and improve data freshness, latency, availability, and reliability of transactional cache workloads
• Optimize PostgreSQL and MongoDB performance through schema design, indexing, query tuning, and capacity planning
• Troubleshoot production issues and participate in operational support, incident response, and root cause analysis activities
• Develop and maintain operational runbooks, monitoring dashboards, alerting strategies, and support procedures
• Collaborate with architects, senior engineers, and cross-functional teams to implement scalable and maintainable data platform solutions
• Contribute to engineering best practices, code reviews, documentation, and continuous improvement initiatives
• Mentor junior engineers and share knowledge related to CDC, data pipelines, and cloud-native data engineering practices

Requirements:

• 5+ years of data engineering, software engineering, or data platform development experience
• 3+ years designing, developing, and supporting enterprise-scale data platforms and distributed systems
• Strong MongoDB Atlas /PostgreSQL experience including data modeling, aggregation frameworks, index design, and performance optimization
• Experience with Change Data Capture (CDC), replication technologies, and near real-time data movement patterns
• Experience designing and supporting operational data stores, transactional caches, or API-serving data platforms
• Strong Python and SQL development skills
• Experience with GCP services including Cloud SQL, Dataproc Serverless, Cloud Composer (Airflow), Monitoring, IAM, and cloud networking fundamentals
• Experience developing and supporting production ETL/ELT pipelines
• Experience working in Linux/Unix environments
• Ability to troubleshoot distributed data processing and data synchronization issues
• Strong problem-solving, communication, and collaboration skills
• Bachelor's degree, or equivalent experience (HS diploma + 4 years relevant experience)
• Experience implementing transactional cache or operational data platform architectures
• Kafka, Pub/Sub, or event-driven architecture experience
• Experience building data platforms that support APIs and microservices
• Terraform or Infrastructure as Code experience
• Experience with GKE/Kubernetes
• Experience designing highly available and low-latency data platforms
• Agile/SAFe experience in large enterprises
• Healthcare industry experience
• AWS experience
• Cloud certifications (AWS and/or GCP) preferred
• EST coast hours preferred