Senior Data Engineer – PostgreSQL, MongoDB

Job not on LinkedIn

🔥 2 minutes ago

🗽 New York, North Carolina, +4 more states – Remote

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💵 $92.7k - $203.9k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

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Logo of CVS Health

CVS Health

10,000+ employees

Founded 1963

🏥 Healthcare

⚕️ Healthcare Insurance

🛒 Retail

Healthcare • Healthcare Insurance • Retail

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, develop, and support a near real-time transactional cache platform for APIs, applications, and digital experiences • Build and maintain CDC pipelines replicating data from UniVerse into PostgreSQL • Develop and support transformation pipelines converting operational relational data into optimized MongoDB document structures • Implement MongoDB document models, indexing strategies, partitioning approaches, and query patterns • Partner with API and application development teams to deliver cache-ready domain models • Monitor and improve data freshness, latency, availability, and reliability • Optimize PostgreSQL and MongoDB performance through schema design, indexing, query tuning, and capacity planning • Troubleshoot production issues and participate in incident response and root cause analysis • Maintain runbooks, monitoring dashboards, alerting strategies, and support procedures • Collaborate with architects, senior engineers, and cross-functional teams • Contribute to engineering best practices, code reviews, documentation, and continuous improvement • Mentor junior engineers and share knowledge on CDC, data pipelines, and cloud-native data engineering

🎯 Requirements

• 5+ years of data engineering, software engineering, or data platform development experience • 3+ years designing, developing, and supporting enterprise-scale data platforms and distributed systems • Strong MongoDB Atlas and PostgreSQL experience, including data modeling, aggregation frameworks, index design, and performance optimization • Experience with Change Data Capture (CDC), replication technologies, and near real-time data movement patterns • Experience designing and supporting operational data stores, transactional caches, or API-serving data platforms • Strong Python and SQL development skills • Experience with GCP services including Cloud SQL, Dataproc Serverless, Cloud Composer (Airflow), Monitoring, IAM, and cloud networking fundamentals • Experience developing and supporting production ETL/ELT pipelines • Experience working in Linux/Unix environments • Ability to troubleshoot distributed data processing and data synchronization issues • Bachelor’s degree, or equivalent experience (HS diploma + 4 years relevant experience) • Preferred: Kafka, Pub/Sub, event-driven architecture, APIs and microservices, Terraform or Infrastructure as Code, GKE/Kubernetes, highly available and low-latency data platforms, Agile/SAFe, healthcare industry, AWS, and AWS/GCP cloud certifications • EST coast hours preferred

🏖️ Benefits

• Medical coverage • Dental coverage • Vision coverage • Paid time off • Retirement savings options • Wellness programs • Other resources supporting physical, emotional, and financial well-being • CVS Health bonus, commission or short-term incentive program eligibility

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