Senior Data Platform Engineer – Real-Time Cache & CDC

CVS Health Corporation; North Carolina; Hybrid; USD 107,000 - 261,000; Full time

Benefits offered by this job

Bonus eligibility

Equity awards

Comprehensive benefits

Job summary

CVS Health Corporation is seeking a Staff Data Engineer to design, build, and support a near real-time transactional cache platform enabling APIs, digital experiences, and downstream services.

You will lead CDC pipelines from UniVerse to PostgreSQL, transform data for MongoDB, and ensure high throughput, low latency for API consumption. This role emphasizes reliability, observability, and mentoring across teams with a comprehensive benefits package.

Qualifications

• 7+ years of data engineering, software engineering, or data platform development experience.
• 5+ years designing and implementing enterprise-scale data platforms and distributed systems.
• Experience with UniVerse or UniData operational databases.
• Proficiency in PICK BASIC, wIntegrate, Unix/Linux, and SDLC methodologies
• Strong experience with Change Data Capture (CDC), replication technologies, and near real-time data movement patterns.
• Experience designing operational data stores, transactional caches, or API-serving data platforms.
• Strong Python and SQL development skills.
• Experience developing and supporting production ETL/ELT pipelines.
• Experience with Linux/Unix environments.

Responsibilities

• Lead the design and implementation of a near real-time transactional cache platform supporting APIs, applications, and digital experiences.
• Design and support CDC pipelines that replicate data from UniVerse into PostgreSQL using vendor-supported replication technologies.
• Develop and maintain transformation pipelines that convert operational relational data into optimized MongoDB document structures.
• Design and evolve 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.
• Establish data freshness, latency, monitoring, and availability standards for transactional cache workloads.
• Optimize PostgreSQL and MongoDB performance through schema design, indexing, query tuning, and capacity planning.
• Own platform reliability, observability, troubleshooting, incident response, and operational support for production transactional cache environments.
• Develop operational runbooks, monitoring dashboards, alerting strategies, and support procedures for production cache environments.
• Provides technical leadership across multiple engineering teams, influences architecture decisions, establishes engineering standards, and drives strategic modernization initiatives.
• Mentor engineers and establish engineering standards for CDC, operational data pipelines, and cloud-native data platforms.

Skills

Python

SQL

Unix/Linux

Leadership

Architecture

Communication

Agile/SAFe

Education

Bachelor's degree or equivalent experience

Tools

PostgreSQL

MongoDB

CDC technologies

Kafka Pub/Sub

Cloud SQL

Terraform

Kubernetes

Job description

CVS Health Corporation is seeking a Staff Data Engineer to design, build, and support a near real-time transactional cache platform enabling APIs, digital experiences, and downstream services.

You will lead CDC pipelines from UniVerse to PostgreSQL, transform data for MongoDB, and ensure high throughput, low latency for API consumption. This role emphasizes reliability, observability, and mentoring across teams with a comprehensive benefits package.