Senior Data Engineer

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🔥 17 minutes ago

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Logo of CVS Health

CVS Health

10,000+ employees

Founded 1963

⚕️ Healthcare Insurance

🛒 Retail

🧘 Wellness

Healthcare Insurance • Retail • Wellness

CVS Health is a leading American healthcare company dedicated to improving health access and affordability. The company focuses on a comprehensive approach that includes health services, health insurance, and pharmacy benefits management. Through its subsidiaries, such as Aetna and CVS Caremark, CVS Health offers a range of services that facilitate wellness, condition management, and affordable prescription drug coverage. CVS Health operates neighborhood pharmacies, provides mail-order pharmacy services, and manages specialty medication programs, aiming to make healthcare convenient and accessible for everyone. Driven by a mission to connect people with essential care services, CVS Health is committed to fostering healthier communities and supporting the wellbeing of all individuals.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• Medical, dental, and vision coverage • Paid time off • Retirement savings options • Wellness programs • Other resources, based on eligibility

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