Principal Data Engineer

🕒 Maio 20

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Dermsquared

SiteLinkedInTodas as Vagas

51 - 200 funcionários

⚕️ Seguro de Saúde

📚 Educação

☁️ SaaS

Healthcare Insurance • Education • SaaS

Dermsquared é uma plataforma líder para profissionais de dermatologia, oferecendo ferramentas de busca impulsionadas por IA, recursos clínicos, educação continuada e oportunidades de conferências para melhorar o cuidado com o paciente. A plataforma inclui funcionalidades como acesso a vídeos de especialistas, podcasts e a capacidade de se inscrever em conferências e cúpulas de dermatologia. Também oferece insights abrangentes e estratégias de gestão para várias condições e tratamentos dermatológicos. Ao aproveitar a tecnologia e o conhecimento especializado, a Dermsquared apoia dermatologistas na elevação da saúde da pele para pacientes de diferentes faixas etárias e condições.

Descrição

• Design, build, and maintain ETL and reverse-ETL pipelines connecting our MarTech and healthcare data stack — CRM, marketing automation, event management, content platforms, and third-party healthcare data — into the cloud data warehouse. • Own the cloud data warehouse and its transformation layer — staging, business logic, and mart tables — keeping data clean, documented, and performant for analytics and data science. • Integrate specialty healthcare datasets — pharmaceutical claims and HCP intelligence — with our first-party engagement data, building the joins and transformations that make them actionable for commercial measurement and clinical personalization. • Define and enforce engineering best practices — code standards, testing, documentation, schema governance, and data dictionary — so analytics and data science can move fast without breaking things. • Monitor, troubleshoot, and optimize pipeline performance, resolving data quality and availability issues before they block analytics. • Stay current with the modern data stack and introduce new tools — connectors, transformation frameworks, orchestration, or ML compute — as we scale. • Partner with analytics, data science, product, and commercial teams to turn business requirements into reliable, scalable solutions — making data accessible, never the bottleneck.

🎯 Requisitos

• 7+ years in data or platform engineering, with proven ownership of production data infrastructure • Expert SQL and deep hands-on Snowflake experience (required, not preferred — it's our warehouse of record) • Strong experience with dbt or a similar SQL transformation framework — modeling, testing, documentation, and CI/CD • Experience configuring and operating pipeline tooling such as Fivetran, Airbyte, or Segment at scale • Strong hands-on AWS experience (our cloud), including data services like S3, Glue, Lambda, or EMR. Other clouds are a plus but not a substitute. • Strong Python skills for custom pipelines and automation • Experience integrating CRM, marketing automation, event, or content platforms via REST APIs, webhooks, or event streams • Healthcare experience — especially pharmaceutical claims, HCP, or health system data — is a strong plus • Able to explain architecture decisions clearly to non-technical stakeholders.

🏖️ Benefícios

• Fully remote work environment with a flexible time off policy • Dedicated professional development support, including reimbursement for approved learning and development activities. • Comprehensive wellness benefits, including medical, vision, and dental coverage, with a significant portion of premiums subsidized for employees and eligible dependents, as well as access to HSA, FSA, and Dependent Care FSA plans • Employer-paid life insurance, short-term disability, and long-term disability coverage • 401(k) retirement plan with company matching • Cell phone reimbursement for business use • Home office stipend to support a productive remote setup