Posted on: 04/11/2026
What you'll do :
- Build crawlers that log into healthcare vendor portals (e.g. WebPT, Prompt, Raintree,Clinicient, Jane) and extract patients, insurance, appointments, providers, documents and balances.
- Handle portal friction: MFA, session timeouts, pagination, rate limits and layout changes.
- Map vendor fields to data model; clean, dedupe and normalise data; flag what can't be mapped.
- Load data through REST APIs in the right order, with retries, logging and rollback.
- Turn one-off scripts into reusable, config-driven connectors so repeat vendors take hours, not days.
- Work with customers and Onboarding Managers to secure credentials, agree scope and get sign-off before go-live.
- Run test loads, the go-live cutover and reconciliation, and fix post-go-live data issues fast.
- Handle patient data securely under HIPAA.
Skills and experience :
Must have :
- 4-7 years in data engineering, integrations or data migration.
- Strong Python (or Node.js/TypeScript) for production scripts and pipelines.
- Hands-on browser automation: Playwright, Puppeteer or Selenium, including logins, MFA and dynamic pages.
- Solid SQL and data wrangling (pandas or similar).
- Experience calling REST APIs at volume: auth, pagination, batching, retries.
- Has built reusable tooling, not only one-off scripts.
- Comfortable on customer calls in English with non-technical US users.
- Calm under fixed deadlines; can run several migrations in one week.
Nice to have :
- US healthcare data experience (EHR/PM systems, ideally PT/OT/SLP).
- HL7, FHIR, X12 (837/835), CPT and ICD-10 codes.
- Workflow orchestration (Airflow, Prefect, Temporal); AWS and Docker.
- Using LLMs for field mapping or document parsing.
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Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1682133