Senior Data Engineer – MongoDB, PostgreSQL

Job not on LinkedIn

🔥 1 minute ago

🗽 New York – Remote

🗽 New York – Remote

💵 $83.4k - $203.9k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

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 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

• 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 in addition to base pay

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume