Principal Data Engineer

🕒 Julho 28

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $220.000 - $260.000 / ano

⏰ Tempo Integral

🔴 Especialista

🚰 Engenheiro de Dados

👻 Score fantasma 20%

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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hims & hers

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 2017

🏥 Saúde

💼 Consultoria

📣 Marketing

Healthcare • Consulting • Marketing

A Hims & Hers é uma plataforma de saúde 100% online que fornece atendimento personalizado e consultas para saúde sexual, crescimento capilar, perda de peso, cuidados com a pele e saúde mental. Com mais de 2 milhões de assinantes, a Hims & Hers conecta pacientes a profissionais de saúde licenciados, oferecendo medicamentos prescritos e suporte contínuo entregues diretamente em suas casas. A plataforma tem como objetivo tornar o atendimento médico acessível, econômico e discreto, garantindo que os usuários possam gerenciar seu tratamento convenientemente através de um aplicativo.

Descrição

• Set the multi-year platform architecture across ingestion, streaming, orchestration, transformation, and serving • Decide what to build, buy, deprecate, and the sequencing of platform investments • Determine whether streaming remains an analytics pipeline or extends to production and model evaluation paths • Define interfaces, service boundaries, and data contracts between organizations • Establish data quality, freshness guarantees, dataset tiering, and accountability models • Set the platform economics framework for storage, compute, reservations, orchestration, and responsible consumption • Define the self-service strategy and guardrails for Analytics Engineering and Data Science • Establish standards for testing, CI/CD, observability, schema governance, and infrastructure as code • Chair Architecture Review and act as decision-maker for cross-team, multi-system, and cost-impacting changes • Partner on ML/Data Science readiness, HIPAA and PHI compliance with Legal and Security, and infrastructure hardening with DevOps • Create ADRs, design documents, and RFCs as the written technical record • Mentor Staff and Senior engineers through design review and hands-on pairing • Write and review production code • Participate in platform-level P1 incidents and drive systemic fixes

🎯 Requisitos

• 12+ years building and owning data platform architecture • Evidence of setting technical direction for organizations not managed directly and achieving adoption through credibility • Experience defining the boundaries of architectural authority • Deep GCP and BigQuery expertise • Operational fluency in AWS, including EKS • Experience with dbt, Airflow/Astronomer, Kafka/Confluent, Databricks/Spark, Fivetran, and reverse ETL or activation platforms such as Hightouch • Production-scale event streaming experience, including Schema Registry, data contracts, consumer lag management, and delivery semantics • Data governance and compliance experience in a regulated environment, including HIPAA, PHI handling, data classification, access controls, audit logging, and GDPR • Terraform or equivalent • Strong Python and SQL • Strong technical writing, including design docs • Preferred: Databricks, Unity Catalog, and Delta Lake at scale • Preferred: CDC patterns and Flink for real-time processing • Preferred: PySpark and SparkSQL • Preferred: BigQuery-to-Databricks Lakehouse or equivalent warehouse migration leadership • Preferred: MLOps partnership experience • Preferred: Go or Python service development for Kafka producers and consumers • Preferred: Direct-to-consumer healthcare or telehealth experience with HIPAA and GDPR obligations • Preferred: SOX compliance controls in data engineering • Legally authorized to work in the U.S. without restriction for any employer

🏖️ Benefícios

• Equity compensation for full-time roles • Unlimited PTO • Company holidays • Quarterly mental health days • Comprehensive medical, dental, and vision benefits • Parental leave • Employee Stock Purchase Program (ESPP) • 401k benefits with employer matching contribution • Offsite team retreats • Talent-first flexible/remote work approach • Reasonable accommodations for qualified individuals with disabilities and disabled veterans