POSITION SUMMARYWe are seeking a highly skilled Senior Data Engineer - MongoDB to design and optimize scalable, high-performance data platforms supporting enterprise healthcare applications. This role focuses on MongoDB-based architectures, real-time data streaming, and cloud-native data engineering, enabling mission-critical systems such as Member Cache, Plan Cache, and analytics platforms.
The ideal candidate brings deep expertise in MongoDB Atlas, event-driven architectures, and large-scale distributed data systems, along with hands-on experience building production-grade data pipelines.
PRIMARY DUTIES AND RESPONSIBILITIES- Design and maintain MongoDB data models, collections, and indexing strategies for high-volume transactional and analytical systems
- Build and optimize real-time data pipelines using Kafka, CDC, and streaming frameworks
- Architect and manage MongoDB Atlas clusters (replication, sharding, high availability)
- Develop and manage ETL/ELT pipelines integrating structured and unstructured data sources
- Ensure data quality, governance, and compliance, including PII/PHI handling and encryption standards
- Optimize query performance and database tuning
- Implement monitoring, alerting, and observability for data platforms
- Support production environments, including incident resolution and capacity planning
- Collaborate with engineering, analytics, and product teams to deliver end-to-end data solutions
REQUIRED QUALIFICATIONS- 5+ years of experience in data engineering or distributed data systems
- 4+ years of hands-on experience with MongoDB (MongoDB Atlas preferred)
- 4+ years of experience in NoSQL data modeling, indexing, and aggregation pipelines
- 4+ years of experience designing MongoDB Atlas architectures (replication, sharding, high availability)
- 3+ years of experience with event-driven architecture and streaming (Kafka, CDC)
- 3+ years of experience building ETL/ELT and real-time data pipelines
PREFERRED QUALIFICATIONS- Experience with MongoDB Change Streams, Atlas Data Streaming, and Vector Search
- Experience integrating MongoDB with Kafka ecosystems (Kafka Connect, Streams)
- Exposure to AI/ML pipelines or real-time analytics platforms
- Experience in healthcare domain or CVS Health environments
- Familiarity with GCP tools (GKE, Dataflow, BigQuery) or equivalent
- Proficiency in Python or Java, including microservices development
- Experience with cloud platforms (AWS, Azure, GCP)
- Understanding of distributed systems and microservices architectures
- Knowledge of data governance, security, and compliance (PII/PHI, HIPAA, encryption)
- Experience with CI/CD pipelines and containerization (Docker, Kubernetes)
EDUCATIONBachelor's degree from accredited university or equivalent work experience (HS diploma + 4 years relevant experience).
Anticipated Weekly Hours40
Time TypeFull time
Pay RangeThe typical pay range for this role is:
$92,700.00 - $185,400.00
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.
Great benefits for great peopleWe take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
This full-time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.
Additional details about available benefits are provided during the application process and on Benefits Moments.
We anticipate the application window for this opening will close on: 07/07/2026
