Senior Data Engineer for Marketplace

Project description

We're building a platform that companies use to create marketplaces that help people find the right kind of provider and book an appointment. Consumer apps, health systems, payer and employer partners deliver it to their members through embeddable experiences, SDKs, an API, and an MCP server. You'll own how schedule inventory gets into the marketplaces. You'll integrate health systems and telehealth networks through batch feeds and real-time APIs, normalize their data into standards-conformant FHIR, and keep availability fresh enough that every booking either confirms or fails gracefully. You'll take each new supplier from zero to production, then own it once it's live. This is a hands-on, AI-native role on a small team. You'll use coding agents and reusable AI skills to move faster on mappings, tests, and boilerplate.

Responsibilities

• - Build and operate supplier integrations through batch channels (EHR exports, SFTP extracts, Delta Sharing) and real-time APIs (telehealth network APIs and others). - Normalize supplier data into FHIR Slot, Schedule, Location, PractitionerRole, and HealthcareService resources - Build idempotent, incremental loads with freshness metrics, and the confirm-at-booking flow that handles stale inventory, taken slots, and expired holds. - Keep production healthy with orchestration, alerting, on-call, and root cause analysis - Handle PHI and encrypted files safely, and write the unit and integration tests that keep pipelines trustworthy. - Build reusable supplier adapters, and AI skills others can build on.

SKILLS

Must have

• - 6+ years in data engineering, data integration or health IT - Experience owning production pipelines end to end, including on-call. You've been the person who takes a new source from zero to production. - Experience integrating external partner data through both batch file feeds and APIs. - Strong Python and SQL, with solid ETL/ELT (Apache Aifrlow), change data capture, and incremental, idempotent processing. - Experience with API authorization (OAuth 2.0 etc) and file ingestion (SFTP, decryption). - Experience working with PII and/or PHI under HIPAA. - Daily use of AI coding tools like Claude Code, with the judgment to know when a deterministic rule beats an LLM call. - You hold a high bar in review and say no to integrations that aren't ready, kindly and clearly. - You drive work to landed, not merged, and you own the result.

Nice to have

- Experience in healthcare technology, working with PHI under HIPAA. - Strong working knowledge of FHIR models, APIs, and implementation guides such as - Experience with FHIR platforms and tools, whether commercial or open-source (e.g.,HAPI, Smile, Medplum), or having built your own. - Participation in the FHIR community, such as HL7 or non-HL7 working groups, Connectathons, IG contributions, or presentations at events like DevDays or HIMSS. - FHIR training or certifications, such as FHIR Implementer or Advanced Developer. - Experience with the IHE ITI Scheduling IG, SMART Scheduling Links, Epic Open Scheduling, Oracle Health FHIR scheduling, or athenahealth APIs. - Experience with HL7 v2 SIU scheduling messages, telehealth network integrations, or provider reference data such as NPPES. - Experience with Prefect framework, Apache Spark, Databricks, or Apache Kafka.