Senior Data Engineer: Real-Time CDC with MongoDB & Postgres

CVS Health; New York (NY); Hybrid; USD 83,000 - 204,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

Paid time off

Retirement savings options

Wellness programs

Job summary

CVS Health is seeking a Senior Data Engineer to design, build, and support a near real-time transactional cache platform enabling APIs and digital experiences. You will drive CDC pipelines from UniVerse to PostgreSQL, transform data for MongoDB, and optimize cloud-native data models.

The role emphasizes production-grade data platforms, performance tuning, and collaboration with cross-functional teams to deliver scalable, reliable data services.

Qualifications

• 5+ years in data engineering or data platform development.
• 3+ years designing enterprise-scale data platforms and distributed systems.
• Strong MongoDB Atlas / PostgreSQL data modeling and performance optimization.

Responsibilities

• Design, develop, and support a near real-time transactional cache platform supporting APIs, applications, and digital experiences.
• Build and maintain 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.

Skills

Python

SQL

PostgreSQL

MongoDB

GCP

CDC

Data pipelines

Education

Bachelor's degree

Tools

MongoDB Atlas

PostgreSQL

Cloud SQL

Kubernetes

Airflow

Job description

CVS Health is seeking a Senior Data Engineer to design, build, and support a near real-time transactional cache platform enabling APIs and digital experiences. You will drive CDC pipelines from UniVerse to PostgreSQL, transform data for MongoDB, and optimize cloud-native data models.

The role emphasizes production-grade data platforms, performance tuning, and collaboration with cross-functional teams to deliver scalable, reliable data services.