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Clarium

Forward Deployed Engineer (Data)

Remote/US (Remote)$130k–$150kfulltimemidAdded 1 month ago

About this role

Clarium seeks a Forward Deployed Engineer to own customer data integrations for hospital systems, bridging diverse ERP, inventory, and EHR systems into their AI-powered supply chain platform. You'll work directly with customers to design and deploy reliable data pipelines while building reusable tools that scale integration efforts across health systems.

What you'll do

  • Work directly with hospital customers to understand their systems and launch production integrations
  • Design and build reliable data ingestion and transformation workflows powering end-user features
  • Partner with data engineers and product managers to iterate on customer data feeds
  • Ensure integrations are correct, production-ready, and reliable in real-world environments
  • Build reusable connectors and internal tools to accelerate future integrations
  • Own production data workflows end-to-end including testing, CI/CD, and monitoring

What they're looking for

  • Python
  • SQL
  • ETL and data pipeline design
  • AWS or similar cloud platforms
  • CI/CD practices
  • Production monitoring and debugging
  • ERP/EHR system integration (preferred)
  • Customer-facing technical communication

Benefits

  • Competitive base salary ($130K-$150K) with equity options
  • Fully remote with optional NYC co-working space
  • Unlimited PTO
  • Top-tier health, vision, and dental coverage
  • 401(k) retirement plan
  • Distributed team with in-person collaboration opportunities
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Clarium

Clarium builds an AI-powered supply chain platform for healthcare that integrates data from diverse hospital systems including ERP, inventory, and EHR sources to provide supply chain visibility. The company is hiring Forward Deployed Engineers to own customer data integrations and Data Products engineers to build master data enrichment pipelines and classification systems.

View all jobs at Clarium

Likely interview questions

  • Walk us through your experience building and operating production data pipelines. What was the most complex integration you've owned end-to-end, and how did you ensure reliability in production?
  • Tell us about a time you worked directly with a non-technical customer or stakeholder to understand their requirements. How did you handle miscommunication or changing scope?
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