Senior Data Engineer – PostgreSQL, MongoDB

Job not on LinkedIn

🔥 1 hour ago

🗽 New York – Remote

🗽 New York – Remote

💵 $92.7k - $203.9k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

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CVS Health Careers

WebsiteLinkedInAll Job Openings

10,000+ employees

🏥 Healthcare

🛒 Retail

📦 Logistics

Healthcare • Retail • Logistics

CVS Health Careers is the recruitment and employer branding arm of CVS Health, showcasing job opportunities across the company's broad operations—pharmacy retail stores, pharmacy services, health care clinics, distribution warehouses, corporate functions and transportation. The careers site emphasizes purpose-driven work focused on improving access, affordability and quality of health care, and highlights a large workforce (300,000+ employees), inclusive culture, benefits, and hiring resources for applicants.

📋 Description

• Design, develop, and support a near real-time transactional cache platform supporting APIs, applications, and digital experiences • Build and maintain Change Data Capture (CDC) pipelines replicating data from UniVerse into PostgreSQL using vendor-supported replication technologies • Develop and support transformation pipelines converting operational relational data into optimized MongoDB document structures • Implement and support MongoDB document models, indexing strategies, partitioning approaches, and query patterns for high-throughput, low-latency API consumption • Partner with API and application development teams to define and deliver cache-ready domain models • Monitor and improve data freshness, latency, availability, and reliability of transactional cache workloads • Optimize PostgreSQL and MongoDB performance through schema design, indexing, query tuning, and capacity planning • Troubleshoot production issues and participate in operational support, incident response, and root cause analysis • Develop and maintain operational runbooks, monitoring dashboards, alerting strategies, and support procedures • Collaborate with architects, senior engineers, and cross-functional teams on scalable, maintainable data platform solutions • 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/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 • Strong problem-solving, communication, and collaboration skills • Kafka, Pub/Sub, or event-driven architecture experience preferred • Experience building data platforms that support APIs and microservices preferred • Terraform or Infrastructure as Code experience preferred • Experience with GKE/Kubernetes preferred • Experience designing highly available and low-latency data platforms preferred • Agile/SAFe experience in large enterprises preferred • Healthcare industry experience preferred • AWS experience preferred • Cloud certifications (AWS and/or GCP) preferred • EST coast hours preferred • Bachelor’s degree, or equivalent experience (HS diploma + 4 years relevant experience)

🏖️ Benefits

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

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