Staff Data Engineer

Job not on LinkedIn

🔥 12 hours ago

🌽 Illinois, Kansas, +4 more states – Remote

🌽 Illinois – Remote 🌪️ Kansas – Remote 🗽 New York – Remote 🏈 Ohio – Remote 🚗 Michigan – Remote 🏰 Missouri – Remote

💵 $106.6k - $260.6k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

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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

• Lead the design and implementation of a near real-time transactional cache platform supporting APIs, applications, and digital experiences • Design and support CDC pipelines replicating data from UniVerse into PostgreSQL using vendor-supported replication technologies • Develop and maintain transformation pipelines converting operational relational data into optimized MongoDB document structures • Design and evolve 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 • Establish data freshness, latency, monitoring, and availability standards • Optimize PostgreSQL and MongoDB performance through schema design, indexing, query tuning, and capacity planning • Own platform reliability, observability, troubleshooting, incident response, and operational support for production environments • Develop operational runbooks, monitoring dashboards, alerting strategies, and support procedures • Provide technical leadership across engineering teams and drive architecture and modernization initiatives • Mentor engineers and establish engineering standards for CDC, operational data pipelines, and cloud-native data platforms

🎯 Requirements

• 7+ years of data engineering, software engineering, or data platform development experience • 5+ years designing and implementing enterprise-scale data platforms and distributed systems • Experience with UniVerse or UniData operational databases • Proficiency in PICK BASIC, wIntegrate, Unix/Linux, and SDLC methodologies • Strong experience with Change Data Capture (CDC), replication technologies, and near real-time data movement patterns • Experience designing operational data stores, transactional caches, or API-serving data platforms • Strong Python and SQL development skills • Experience developing and supporting production ETL/ELT pipelines • Experience with Linux/Unix environments • Ability to troubleshoot distributed data processing and data synchronization issues • Strong architecture, communication, and technical leadership skills • Experience with GCP services including Cloud SQL, Dataproc Serverless, Cloud Composer (Airflow), Monitoring, IAM, and cloud networking fundamentals • PostgreSQL expertise including schema design, query optimization, indexing, performance tuning, and high availability concepts • MongoDB Atlas expertise including data modeling, aggregation frameworks, index design, and performance optimization • 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 experience • Cloud certifications (AWS/GCP) preferred

🏖️ Benefits

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