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Specialisms - Data Engineering - Healthtech
Healthtech data is high-stakes and tightly regulated. Re:Sourced recruits the data engineers who build clinical, claims and patient pipelines where privacy, interoperability and data quality are not optional, because a bad record can reach a clinical decision.
The profile
The work centres on moving sensitive health data safely and correctly: clinical and claims pipelines, interoperability with health standards (FHIR, HL7), de-identification and consent handling, and data quality rigorous enough to support clinical or actuarial decisions. Patient data carries obligations consumer data does not.
The differentiator is handling protected health information under the Privacy Act and My Health Record framework, with the audit and governance to match. Engineers from health providers, insurers or healthtech platforms bring that discipline. Typical stack: dbt, Snowflake or Databricks, Airflow, plus the standards literacy (FHIR, HL7) most data engineers lack.
Where they come from
The pools sit inside healthtech scale-ups (Eucalyptus, Harrison.ai, Coviu, MyHealth1st, Medinet) and the data teams at private health insurers and hospital networks. The reliable pattern: data engineers from insurer or provider backgrounds moving into scale-ups for faster shipping while keeping their governance instincts.
Senior data engineers in Sydney price at AUD 160-190k base, base only, 25th-75th percentile of accepted offers. Healthtech experience with standards and privacy sits at the top of the band. Full bands in the Salary Guide 2026.
Submit a brief
30 minute working session. No fee until placement. Replacement inside 90 days.