Summary
Clarium is a healthcare technology company that uses its AI-powered platform, Astra OS, to improve hospital supply chain operations. The Data Integration Engineer will own customer data integrations end to end, designing and operating reliable ingestion and transformation workflows, troubleshooting production issues, and building reusable connectors while working directly with hospital customers.
Responsibilities
- Lead technical discovery sessions with hospital IT and supply chain teams to understand source systems, data structures, and integration requirements
- Design, build, and own production data pipelines that ingest and transform data from customer ERP, supply chain, and operational systems into Clarium's platform
- Troubleshoot integration failures in live customer environments from schema mismatches to authentication issues to upstream data quality problems
- Build reusable connectors and integration patterns that reduce onboarding time for future customers
- Partner with product and engineering to translate field learnings into platform improvements
- Maintain clear documentation and runbooks so integrations are supportable at scale
- Communicate integration status, risks, and timelines clearly to both technical and non-technical stakeholders
Skills
- 4+ years of professional software engineering experience
- Strong Python and SQL skills; you write production code, not just scripts
- Hands-on experience building and operating data pipelines or system integrations in a production environment
- Comfort working directly with external customers or stakeholders; you can run a technical discovery call, manage expectations, and communicate clearly under pressure
- A builder's instinct: you figure things out in ambiguous environments, read documentation, and don't wait to be unblocked
- Experience with REST APIs, webhooks, SFTP, or similar data exchange patterns
- Strong written and verbal communication; you can explain a technical problem to a non-technical audience without losing the substance
- Need to Know: Python · SQL · REST APIs · ETL / Data Pipelines · AWS or equivalent cloud
- Experience with healthcare data standards (HL7, FHIR) or EHR/ERP systems (Epic, Cerner, Workday, Oracle, Infor)
- Familiarity with healthcare supply chain or hospital operations
- Prior experience at an early-stage startup
- Nice to Know: HL7 · FHIR · Epic · Cerner · Workday · Oracle · Airflow · dbt · Snowflake
Qualifications
Must Haves
- 4+ years of professional software engineering experience
- Strong Python and SQL skills; you write production code, not just scripts
- Hands-on experience building and operating data pipelines or system integrations in a production environment
- Comfort working directly with external customers or stakeholders; you can run a technical discovery call, manage expectations, and communicate clearly under pressure
- A builder's instinct: you figure things out in ambiguous environments, read documentation, and don't wait to be unblocked
- Experience with REST APIs, webhooks, SFTP, or similar data exchange patterns
- Strong written and verbal communication; you can explain a technical problem to a non-technical audience without losing the substance
- Need to Know: Python · SQL · REST APIs · ETL / Data Pipelines · AWS or equivalent cloud
Nice to Haves
- Experience with healthcare data standards (HL7, FHIR) or EHR/ERP systems (Epic, Cerner, Workday, Oracle, Infor)
- Familiarity with healthcare supply chain or hospital operations
- Prior experience at an early-stage startup
- Nice to Know: HL7 · FHIR · Epic · Cerner · Workday · Oracle · Airflow · dbt · Snowflake
Benefits
- Incentive Stock Options proportionate to your salary
- Fully remote, with a NYC co-working space available; distributed team across multiple time zones with opportunities for in-person time
- Unlimited PTO
- Top-tier health, vision, and dental benefits
- 401K
- The opportunity to build on a strong foundational team with deep data and engineering roots at a stage where your work genuinely shapes the product
- A fast-paced, high-growth environment where we move quickly to solve critical healthcare challenges
- The chance to empower frontline healthcare workers by automating the administrative friction in their day-to-day
- Collaborative work alongside a high-caliber team of clinicians, engineers, and revenue leaders