Senior Manager, Data Engineering

🕒 March 20

🏄 California, New Jersey, +3 more states – Remote

🏄 California – Remote 🏖️ New Jersey – Remote 🦀 Maryland – Remote 🏰 Missouri – Remote 🌴 South Carolina – Remote

💵 $180k - $225k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 46%

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.

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Fuze Health

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏥 Healthcare

☁️ SaaS

💊 Pharmaceuticals

Healthcare • SaaS • Pharmaceuticals

Fuze Health is a technology-led healthcare company that provides integrated pharmacy solutions, clinical services, and data-driven software to healthcare organizations, payers, employers, and life sciences partners. Through its FuzeRx digital pharmacy, Fuze Services clinical programs, and Fuze Technologies platform, it delivers API-powered prescription fulfillment, telehealth, diagnostics and genomics, patient engagement, and analytics to improve access, adherence, early identification of conditions, and outcomes at scale.

📋 Description

• Lead the strategy, architecture, and execution of Alto’s data platform • Manage, build and lead a high-performing team responsible for designing resilient data pipelines • Define and execute the long-term vision for Alto’s data platform • Partner with Product, Engineering, Data Science, Analytics, Finance, and Enterprise teams to prioritize and deliver high-impact data initiatives • Own the design and evolution of Alto’s data architecture • Administer and maintain core platform tooling – ensuring these systems operate as reliable, scalable, and secure infrastructure • Provide a robust, well-governed platform foundation that enables Analytics to build and manage transformation logic within dbt • Enhance and scale current data quality monitoring and incident management practices

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field; advanced degree preferred • 10+ years of experience in data engineering, platform engineering, or related data infrastructure roles • 5+ years of experience leading and scaling high-performing technical teams • Proven experience architecting, operating, and scaling modern cloud-based data platforms • Strong expertise in data modeling principles, ELT architectures, and production-grade pipeline orchestration • Hands-on experience with cloud environments (AWS, GCP, or Azure) • Proven track record owning platform reliability • Experience operating in high-growth, fast-paced technology organizations • Strong communication skills

🏖️ Benefits

• dental, vision, and multiple group medical plans to choose from • 401(k) retirement savings plan • group life insurance • accidental death and dismemberment (AD&D) insurance • flexible spending account (FSA) and health savings account (HSA) • commuter benefits • employer-paid short-term (STD) and long-term disability (LTD) insurance • additional supplemental insurance plans (spouse life insurance, legal insurance, an employee assistance program, home health testing kits, and a fertility medication discount program) • flexible vacation time • accrued paid sick time • 10 paid holidays • 2 floating holidays for full time non-exempt employees • eight weeks of paid parental leave for eligible employees • additional paid weeks for the birthing parent • 4 weeks paid caregiver leave • Lifestyle Spending Account allowance each month

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