Staff Software Development Engineer

CVS HealthHartford, CT

About The Position

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary Join Fortune 7 CVS Health as a Staff Software Development Engineer Healthcare data platform. In this role you will design, build, and operate scalable data platforms leveraging MongoDB on AWS as Transactional cache to support Medicare and Commercial Member Healthcare data. This role will focus on architecting and managing high‑volume, secure, and compliant data solutions that enable analytics, reporting, and downstream integration across enterprise healthcare systems. The ideal candidate brings deep technical expertise in NoSQL data modeling, cloud-native architectures, and healthcare data governance.

Requirements

  • 7+ years of experience in data engineering or data platform development
  • Strong hands‑on experience with Relational and NoSQL databases (schema design, aggregation pipelines, performance tuning)
  • Solid understanding of AWS services relevant to data platforms
  • Strong knowledge of data security, privacy, and compliance requirements (HIPAA, CMS)
  • Excellent collaboration and communication skills across technical and non‑technical stakeholders
  • Bachelor’s degree or equivalent experience (Highschool diploma plus 4 years relevant work experience)

Nice To Haves

  • Experience with hybrid data architectures combining NoSQL (MongoDB) and relational data stores
  • Exposure to data governance frameworks, metadata management, and data quality tooling
  • Prior experience in large enterprise or regulated environments
  • Mentoring or technical leadership experience within data engineering teams

Responsibilities

  • Design, build, and manage MongoDB data platforms on AWS (including deployment, scaling, performance tuning, and resiliency)
  • Model and manage large‑scale Medicare and Commercial Claims datasets, ensuring accuracy, consistency, and auditability
  • Develop and maintain data ingestion, transformation, and enrichment pipelines supporting near‑real‑time and batch processing
  • Implement data partitioning, indexing, and query optimization strategies for high‑volume claims and other healthcare data
  • Ensure compliance with HIPAA, CMS, and internal data governance standards, including encryption, access controls, and audit logging
  • Partner with architecture, analytics, and application teams to define data access patterns and integration strategies
  • Support analytics, reporting, and downstream consumption by preparing optimized and well‑governed datasets
  • Establish monitoring, alerting, and operational runbooks for data platforms and pipelines
  • Contribute to cloud cost optimization, reliability, and platform modernization initiatives

Benefits

  • medical
  • dental
  • vision coverage
  • paid time off
  • retirement savings options
  • wellness programs

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What This Job Offers

Job Type

Full-time

Career Level

Senior

Education Level

Associate degree

Number of Employees

5,001-10,000 employees

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