POSITION SUMMARY

We 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)

EDUCATION

Bachelor’s degree from accredited university or equivalent work experience (HS diploma + 4 years relevant experience).

BUSINESS OVERVIEW

Bring your heart to CVS Health Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver. Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable. We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an affirmative action employer, and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, ag