Staff Data Engineer: Real-time Cache & CDC Platform

CVS Health Corporation

South Dakota

Hybrid

USD 107,000 - 261,000

Full time

5 days ago
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Job summary

CVS Health Corporation in the United States 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 to consume operational data outside the UniVerse environment.

This role requires deep expertise in CDC technologies, PostgreSQL, MongoDB, and cloud-native data engineering, plus technical leadership across multiple teams to drive architecture, performance, reliability, and modernization

Qualifications

  • 7+ years of data engineering or data platform development experience.
  • 5+ years designing 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 CDC, replication technologies, and near real-time data movement patterns.
  • Experience designing data stores, transactional caches, or API-serving 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.
  • Design CDC pipelines that replicate UniVerse data into PostgreSQL.
  • Develop pipelines to transform operational relational data to MongoDB documents.
  • Evolve MongoDB models, indexing, partitioning for high-throughput API use.
  • Partner with API teams to deliver cache-ready domain models.
  • Set data freshness, latency, monitoring, and availability standards.
  • Optimize PostgreSQL and MongoDB performance via schema/indexing.
  • Own platform reliability, observability, and incident response.
  • Create runbooks, dashboards, alerts for production caches.
  • Provide technical leadership and establish engineering standards.
  • Mentor engineers on CDC and cloud-native data platforms.

Skills

CDC
PostgreSQL
MongoDB
Python
SQL
Unix/Linux
Data pipelines
UniVerse/UniData
ETL/ELT
APIs

Education

Bachelor's degree

Tools

GCP
Kubernetes
Terraform
Kafka
Pub/Sub
Cloud SQL
Dataproc

Job description

CVS Health Corporation in the United States 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 to consume operational data outside the UniVerse environment.

This role requires deep expertise in CDC technologies, PostgreSQL, MongoDB, and cloud-native data engineering, plus technical leadership across multiple teams to drive architecture, performance, reliability, and modernization

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