> Markdown version of [/jobs/ext/1862932-senior-data-engineer](https://www.wearedevelopers.com/jobs/ext/1862932-senior-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data engineer - **Company:** CVS Health - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $92,700.0 - $185,400.0 - **Contract:** Permanent contract - **Skills:** Query Performance, Java (Programming Language), Artificial Intelligence, Amazon Web Services, Microsoft Azure, BigQuery, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Systems, Shard (Database Architecture), Distributed Data Store, Distributed Systems, Data Flow Control, Python (Programming Language), MongoDB, NoSQL, Cloud Services, Search Technologies, Data Streaming, Systems Integration, Google Cloud, System Availability, Database Optimization, Indexer, Event Driven Architecture, Containerization, Kubernetes, Apache Kafka, Data Management, Machine Learning Operations, Stream Processing, Stream Analytics, Data Pipelines, Docker, Microservices - **Published:** July 1, 2026 - **Apply:** https://dejobs.org/x/x/778A3CA4CFF84710B25A52B1CC68E70D/job/ ## About the Role * 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), Bachelor's degree from accredited university or equivalent work experience (HS diploma + 4 years relevant experience). ## Description 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., * 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 ## Related Videos - [40 Minutes to Build a Serverless COVID-19 REST and GraphQL APIs](https://www.wearedevelopers.com/videos/208-40-minutes-to-build-a-serverless-covid-19-rest-and-graphql-apis) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [NoSQL Data Modeling for Front-end Developers](https://www.wearedevelopers.com/videos/297-nosql-data-modeling-for-front-end-developers) - [Database Magic behind 40 Million operations/s](https://www.wearedevelopers.com/videos/748-database-magic-behind-40-million-operations-s) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers)