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Dermsquared

Principal Data Engineer

Dermsquared

Principal Data Engineer designing and maintaining data foundational elements for specialty healthcare education platform. Focused on building infrastructure that supports company growth in dermatology.

Posted 5/21/2026full-timeRemote • 🇺🇸 United StatesLeadWebsite

Tech Stack

Tools & technologies
AWSCloudETLPythonSQL

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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

Comp & perks
  • 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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
ETLreverse-ETLSQLSnowflakedbtAWSPythondata transformationdata qualitydata pipeline optimization
Soft Skills
communicationcollaborationproblem-solvingdocumentationengineering best practicesstakeholder engagementanalytical thinkingownershipadaptabilityleadership