Senior Manager, Data Engineering

Job not on LinkedIn

🔥 0 minutes ago

🌵 Arizona, Colorado, +11 more states – Remote

🌵 Arizona – Remote ⛰️ Colorado – Remote 🐊 Florida – Remote 🌪️ Kansas – Remote 🎰 Nevada – Remote 🌲 North Carolina – Remote 🌲 Oregon – Remote 🦀 Maryland – Remote 🏰 Missouri – Remote 🔔 Pennsylvania – Remote 🌴 South Carolina – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote

💵 $180k - $225k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 7%

What it means: how likely this posting is sitting open without active hiring.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

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

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

Upload Resume

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, mentor, and grow a team of Data Engineers • Define and execute the long-term vision for Alto’s data platform • Partner with Product, Engineering, Data Science, Analytics, Finance, and Enterprise teams on high-impact data initiatives • Establish career paths, performance standards, and hiring plans • Translate business needs into scalable data solutions • Own the design and evolution of data architecture across ingestion, transformation, orchestration, storage, and serving layers • Administer and maintain Fivetran, Airflow, dbt, Snowflake, and Looker • Provide a governed platform foundation for analytics transformation logic in dbt • Ensure the data platform powers analytics, operational workflows, experimentation, and machine learning • Ensure pipeline reliability, performance, and freshness through observability, lineage tracking, testing, and operational rigor • Scale the platform for increasing data volume, near-real-time use cases, and regulatory complexity • Strengthen data governance, access control, privacy, and compliance • Define and operationalize SLAs and platform reliability metrics • Improve data quality monitoring and incident management • Optimize infrastructure performance and cost efficiency • Evaluate emerging technologies for streaming, near-real-time analytics, and scalable AI workflows • Enable experimentation and measurement with reliable production-grade pipelines • Collaborate with Data Science and Machine Learning teams on model and feature complexity • Drive adoption of tooling and practices that improve developer velocity and reduce operational toil • Cultivate data ownership, discoverability, and accountability

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field • 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 • Experience architecting, operating, and scaling modern cloud-based data platforms • Expertise in data modeling principles, ELT architectures, and production-grade pipeline orchestration • Hands-on experience with AWS, GCP, or Azure • Experience defining SLAs, implementing observability and data quality frameworks, and leading incident response and postmortems for production data systems • Experience in high-growth, fast-paced technology organizations • Strong communication skills and ability to influence technical and non-technical stakeholders • Experience with data platforms in healthcare, pharmacy, fintech, or other regulated industries • Familiarity with HIPAA and healthcare data privacy standards • Experience supporting machine learning pipelines, feature engineering workflows, or feature stores • Experience with streaming architectures such as Kafka, Kinesis, or Pub/Sub and real-time analytics • Exposure to experimentation platforms and product analytics ecosystems • Strong SQL and programming proficiency, such as Python or Scala • Experience implementing data contracts and data product frameworks across domain teams • Must reside in one of the specified states • Must be authorized to work for any employer in the U.S.

🏖️ Benefits

• Dental, vision, and multiple group medical plans • 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 • Supplemental spouse life insurance • Legal insurance • Employee assistance program • Home health testing kits • 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, with additional paid weeks for the birthing parent • 4 weeks paid caregiver leave • Lifestyle Spending Account allowance each month