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Staff Data Engineer - Remote

Posted 28 weeks ago
Data Analysis
Full Time
Australia

Overview

Heidi is on a mission to halve the time it takes to deliver world-class care. As a Staff Data Engineer, you will be a key technical leader responsible for the design, implementation, and evolution of our data infrastructure and architecture.

In Short

  • Lead the design and implementation of a scalable, secure, and highly available data lakehouse architecture on AWS.
  • Architect and build robust, production-grade ELT pipelines leveraging technologies such as S3, Athena, Lake Formation, Trino, and Databricks.
  • Own orchestration strategy using tools like Airflow, Databricks Workflows, or Dagster.
  • Work closely with Machine Learning Engineers to deliver data platforms optimized for model training, deployment, and monitoring.
  • Drive technical decisions on data tooling, architecture, and engineering best practices.
  • Embed data privacy, security, and compliance controls aligned with healthcare standards.
  • Provide technical leadership and mentorship to engineers.
  • Promote a culture of documentation, testing, observability, and operational rigor across all data systems.

Requirements

  • A minimum of 5+ years of experience in data engineering or a related field.
  • Proven track record of building and scaling production data systems in cloud environments.
  • Expertise in designing and implementing robust data pipelines, ETL processes, and data warehouses.
  • Experience providing direct data engineering support to Machine Learning teams.

Benefits

  • Flexible hybrid working environment, with 3 days in the office.
  • Additional paid day off for your birthday and wellness days.
  • Special corporate rates at Anytime Fitness.
  • A generous personal development budget of $500 per annum.
  • Learn from some of the best engineers and creatives.
  • Become an owner, with shares (equity) in the company.
  • The rare chance to create a global impact.
  • Opportunity to fast track your startup career.

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