Senior Data Engineer

Job not on LinkedIn

🔥 12 hours ago

🗽 New York, Minnesota, +2 more states – Remote

🗽 New York – Remote ❄️ Minnesota – Remote 🌴 South Carolina – Remote 🗿 South Dakota – Remote

💵 $83.4k - $203.9k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

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CVS Health

WebsiteLinkedInAll Job Openings

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 supporting APIs, applications, and digital experiences • Build and maintain 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 data platform solutions • Contribute to engineering best practices, code reviews, documentation, and continuous improvement • Mentor junior engineers and share knowledge related to 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 • Experience implementing transactional cache or operational data platform architectures • Kafka, Pub/Sub, or event-driven architecture experience • Experience building data platforms that support APIs and microservices • Terraform or Infrastructure as Code experience • Experience with GKE/Kubernetes • Experience designing highly available and low-latency data platforms • Agile/SAFe experience in large enterprises • Healthcare industry experience • AWS experience • 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