Senior Data Engineer — Real-Time PostgreSQL & MongoDB Cache

CVS Health; Rhode Island; Hybrid; USD 93,000 - 204,000; Full time

Job summary

CVS Health in Rhode Island is seeking a Senior Data Engineer to design, build, and support a near real-time transactional cache platform using PostgreSQL and MongoDB Atlas. You will optimize data flows from UniVerse via CDC into PostgreSQL and transform data for MongoDB.

You will collaborate with API teams to deliver cache-ready domain models, monitor data freshness and latency, and contribute to runbooks, documentation, and mentoring of junior engineers while ensuring scalable, reliable data

Qualifications

• 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.

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.

Skills

PostgreSQL

MongoDB

CDC

Python

SQL

GCP

Linux

ETL/ELT

Data pipelines

Cloud-native

Education

Bachelor’s degree

Tools

Dataproc

Cloud Composer

Airflow

GKE

Kubernetes

Job description

CVS Health in Rhode Island is seeking a Senior Data Engineer to design, build, and support a near real-time transactional cache platform using PostgreSQL and MongoDB Atlas. You will optimize data flows from UniVerse via CDC into PostgreSQL and transform data for MongoDB.

You will collaborate with API teams to deliver cache-ready domain models, monitor data freshness and latency, and contribute to runbooks, documentation, and mentoring of junior engineers while ensuring scalable, reliable data