Principal Data Engineer

🕒 May 20

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Dermsquared

WebsiteLinkedInAll Job Openings

51 - 200 employees

⚕️ Healthcare Insurance

📚 Education

☁️ SaaS

Healthcare Insurance • Education • SaaS

Dermsquared is a leading platform for dermatology professionals, providing AI-powered search tools, clinical resources, CME & education, and conference opportunities to improve patient care. The platform includes features such as access to expert videos, podcasts, and the ability to register for dermatology conferences and summits. It also offers comprehensive insights and management strategies for various dermatological conditions and treatments. By leveraging technology and expert knowledge, Dermsquared supports dermatologists in elevating skin health for patients across different age groups and conditions.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• 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