Job Description

About Us

Halo Labs is a future focused, end-to-end data solutions firm – transforming tomorrow, today. Our intelligent and secure technology systems and data driven solutions drive meaningful outcomes and unlock lasting value.

Why work at Halo Labs?

Leading Innovation: We don't just solve problems; we illuminate a never-ending stream of innovation.
Exceptional Perks: Enjoy outstanding perks like a dedicated learning budget, performance bonuses, and comprehensive wellbeing support.
Remote-First Organisation: Experience the perks of remote work while having the flexibility to travel to client locations throughout Australia.
Inclusive and Engaging: Celebrate diversity in a welcoming space that thrives on recent ideas and open conversations, all in a respectful setting.

Inspiring Origins: With a compelling founder story, we are a customer-focused, culture-first organisation.

About the role
Design, develop,



and maintain reusable in-house PySpark frameworks to enforce standardised data engineering patterns across the SaaS platform
Architect and implement scalable, production-grade ETL/ELT pipelines across Azure and AWS settings
Build distributed data processing solutions using Python and PySpark on Databricks
Develop batch and near real-time ingestion pipelines integrating third-party clinical systems, healthcare APIs, and external enterprise platforms
Design secure data integration patterns (REST APIs, SFTP, event-driven ingestion, webhooks) ensuring compliance and data integrity
Work closely with Software Engineers to embed data services directly into the SaaS product architecture
Contribute to backend system design discussions to ensure data layer scalability, observability, and performance
Implement CI

📌 Infrastructure And Systems Engineer Canberra
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