Staff Data Engineer: Real-Time Cache & CDC

CVS Health Corporation

New York (NY)

Hybrid

USD 107,000 - 261,000

Full time

5 days ago
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Job summary

CVS Health Corporation is seeking a Staff Data Engineer in New York, NY to design, build, and support a near real-time transactional cache platform enabling APIs and digital experiences. You will lead CDC pipelines from UniVerse to PostgreSQL, transform data into MongoDB documents, and optimize performance while ensuring reliability and observability across production environments.

You will mentor engineers, define standards for CDC and cloud-native data platforms, and collaborate with multiple

Qualifications

  • 7+ years in data engineering, software engineering, or data platform development.
  • 5+ years designing enterprise-scale data platforms and distributed systems.
  • Experience with UniVerse or UniData operational databases.
  • Proficiency in CDC, replication tech and near real-time data movement.
  • Strong Python and SQL development skills.
  • Experience with production ETL/ELT pipelines.
  • Linux/Unix environments experience.

Responsibilities

  • Lead the design and implementation of a near real-time transactional cache platform.
  • Design CDC pipelines migrating data from UniVerse into PostgreSQL.
  • Develop transformation pipelines to MongoDB document structures.
  • Optimize PostgreSQL and MongoDB performance with indexing and tuning.
  • Own platform reliability, observability, and incident response.
  • Develop runbooks, dashboards, and monitoring for production caches.
  • Mentor engineers and establish engineering standards for CDC and cloud-native data platforms.

Skills

Data engineering
CDC
Python
SQL
ETL/ELT
Distributed systems
Unix/Linux
Architectural leadership
Communication
Mentoring

Education

Bachelor's degree

Tools

UniVerse/UniData
PICK BASIC
wIntegrate
PostgreSQL
MongoDB
Unix/Linux
Kubernetes

Job description

CVS Health Corporation is seeking a Staff Data Engineer in New York, NY to design, build, and support a near real-time transactional cache platform enabling APIs and digital experiences. You will lead CDC pipelines from UniVerse to PostgreSQL, transform data into MongoDB documents, and optimize performance while ensuring reliability and observability across production environments.

You will mentor engineers, define standards for CDC and cloud-native data platforms, and collaborate with multiple

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