Engineering Manager, Data Engineering

🕒 5 dias atrás

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $175.000 - $228.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

👮‍♀️ Gerente de Engenharia de Software

🗣️🇺🇸🇬🇧 Inglês obrigatório

De onde vem esta vaga

Publicada na página de carreiras da Virta Health, não em um site de vagas

Vista pela primeira vez pelo Remote Rocketship 5 dias atrás

Ainda aberta no site da Virta Health. Verificada 2 horas atrás.

Logo of Virta Health

Virta Health

201 - 500 funcionários

🏥 Saúde

⚕️ Seguro de Saúde

🧘 Bem-estar

Healthcare • Healthcare Insurance • Wellness

Virta Health é uma empresa de saúde focada em reverter o diabetes tipo 2 e promover a perda de peso sustentável por meio de uma abordagem com prioridade na nutrição. A empresa oferece planos de tratamento personalizados que ajudam as pessoas a reduzir ou eliminar a necessidade de medicamentos para diabetes. A Virta colabora com organizações e prestadores de serviços de saúde para alcançar resultados transformadores em cuidados metabólicos. Sua abordagem é baseada em evidências e enfatiza a importância de mudanças no estilo de vida e na alimentação para obter melhorias duradouras na saúde e no controle do peso.

Descrição

• Lead and grow the data engineering and analytics engineering disciplines • Coach engineers, set expectations, and support technical and career growth • Assess capability gaps and define profiles for additional hires • Complete the BigQuery medallion architecture and Looker Core migration • Lead validation, stakeholder onboarding, and retirement of legacy data paths • Build relationships with Engineering, Analytics, Finance, Commercial, and Clinical stakeholders • Translate stakeholder needs into a focused roadmap and resolve competing priorities • Expand self-service through reusable ingestion and transformation patterns, tooling, documentation, and standards • Guide reusable dbt models, shared semantic definitions, and LookML development • Build and operate data agents and enable governed datasets and semantic context for AI and ML workflows • Partner with Applied AI and MLOps on data access, quality, and interfaces • Establish ownership, testing, freshness expectations, alerts, and incident practices • Partner with Security and Infrastructure on access controls, PHI/PII protection, lineage, and cost management • Apply AI-assisted development and automation to reduce toil and improve delivery • Measure adoption, migration progress, reliability, and stakeholder feedback • Deliver migration or self-service milestones and align quarterly roadmap priorities

🎯 Requisitos

• 3+ years of engineering management experience • Direct leadership of both data engineering and analytics engineering work • Strong technical judgment across data pipelines, cloud warehouses, SQL, data modeling, transformation frameworks, orchestration, and BI or semantic layers • Experience leading a significant data platform or analytics migration, including data validation, stakeholder adoption, and operational continuity • Experience owning stakeholder discovery and roadmap prioritization without a dedicated product manager • Track record of building reusable capabilities and helping other teams adopt them • Experience hiring, coaching, and managing performance across different engineering skill sets • Experience building collaborative teams in a remote or asynchronous environment • Clear communication with technical and business audiences • Experience with BigQuery, dbt Cloud, Looker/LookML, GCP, Python, Go, or infrastructure as code is a bonus • Experience building data agents, governed natural-language analytics, semantic layers for AI, or data capabilities supporting production ML systems is a bonus • Experience introducing AI-assisted development workflows with effective testing and review practices is a bonus • Experience in healthcare or another regulated industry, including sensitive-data governance and access controls, is a bonus • Authorization to work in the United States

🏖️ Benefícios

• Remote-first work arrangement • Office hubs in Denver and San Francisco • Security and privacy training provided • AI-assisted development and automation opportunities • Location-based compensation structure • HIPAA, security, and privacy support procedures • Equal employment opportunity protections

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Desenvolvido por Lior Neu-ner. Adoraria receber seu feedback — entre em contato por DM ou pelo e-mail support@remoterocketship.com
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