Senior Data Migration Engineer

Responsibilities:

• 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.

Requirements:

• 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.

Skills

data engineering, data migration, integrations, node.js, playwright, puppeteer, python, selenium, typescript