Senior Manager, Data Engineering

🕒 Setembro 1

🌵 Arizona, Colorado, +11 estados a mais – Remoto

🌵 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

💵 $180.000 - $225.000 / ano

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

👻 Score fantasma 14%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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Fuze Health

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

🏥 Saúde

☁️ SaaS

💊 Farmacêutico

Healthcare • SaaS • Pharmaceuticals

A Fuze Health é uma empresa de saúde guiada por tecnologia que oferece soluções integradas de farmácia, serviços clínicos e software orientado por dados para organizações de saúde, pagadores, empregadores e parceiros de ciências da vida. Através de sua farmácia digital FuzeRx, programas clínicos Fuze Services e plataforma Fuze Technologies, oferece serviços de prescrição alimentados por API, telemedicina, diagnósticos e genômica, engajamento de pacientes e análise de dados para melhorar o acesso, adesão, identificação precoce de condições e resultados em larga escala.

Descrição

• 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

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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