Senior Data Platform Engineer – Real-Time Cache & CDC

Koitecc Solutions; Town of Texas (WI); Hybrid; USD 107,000 - 261,000; Full time

Job summary

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

You will lead CDC pipelines from UniVerse to PostgreSQL, transform data for MongoDB documents, and optimize performance, reliability, and observability across production environments. This role offers broad influence on architecture within a large health care ecosystem.

Qualifications

• 7+ years of data 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.
• Ability to troubleshoot distributed data processing and data synchronization issues.
• Strong architecture, communication, and technical leadership skills.

Responsibilities

• Lead the design and implementation of a near real-time transactional cache platform supporting APIs, applications, and digital experiences.
• Design and support Change Data Capture (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.
• Provide technical leadership across multiple engineering teams, influence architecture decisions, establish engineering standards, and drive modernization initiatives.
• Mentor engineers and establish engineering standards for CDC, operational data pipelines, and cloud-native data platforms.

Skills

Data engineering

Python

SQL

Unix/Linux

CDC pipelines

Distributed systems

Data architecture

API platforms

Communication

Leadership

Education

Bachelor's degree or equivalent

Tools

PostgreSQL

MongoDB

Kubernetes

GCP

Terraform

Job description

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

You will lead CDC pipelines from UniVerse to PostgreSQL, transform data for MongoDB documents, and optimize performance, reliability, and observability across production environments. This role offers broad influence on architecture within a large health care ecosystem.