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# Data Scientist

- **Company:** RPM SOFTWARE USA, INC.
- **Location:** Brisbane, CA, United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Query Performance, Microsoft Azure, Information Engineering, Extract Transform Load (ETL), Distributed Computing Environment, Microsoft SQL Server, SQL Databases, Data Processing, Large Language Models, Apache Spark, Change Tracking, Change Data Capture, Information Technology, Data Analytics, Data Management, Data Pipelines, Databricks
- **Published:** July 14, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/p490i844q3

## About the Role

* Bachelor's degree in Data Science, Computer Science, or a related field
 * Strong expertise in Microsoft SQL Server, including:
 * ETL development
 * Query performance tuning
 * Change Data Capture (CDC) and Change Tracking
 * Experience with Azure DevOps, including CI/CD pipeline implementation
 * Hands-on experience with large language models and tools such as Semantic Kernel
 * Strong experience working with the Azure cloud platform
 * Proven track record in developing commercial engineering or technical applications
 * Strong communication skills and a collaborative mindset
 * Strong command of the English language in both verbal and written form
 * Must have the legal right to work in Australia

Highly Regarded Experience

 * Experience in data engineering or building data platforms
 * Experience with Databricks, Azure OneLake, or similar lakehouse technologies
 * Exposure to distributed data processing frameworks (e.g. Spark)
 * Experience in the mining or resources industry

## Description

RPMGlobal (RPM) is seeking a highly skilled and experienced Data Scientist to join our team working on advanced analytics and data-driven products within a modern Azure-based platform., This is a permanent full-time role based in our Brisbane CBD headquarters. This position is in-office; however, it allows for ad hoc working from home.

This role is ideal for someone who enjoys working across both data science and data engineering disciplines - designing scalable data pipelines, optimising SQL-based systems, and building intelligent solutions leveraging large language models., * Design, develop, and optimise ETL pipelines using Microsoft SQL Server

 * Implement and maintain incremental data processing using Change Tracking / CDC
 * Build and maintain CI/CD pipelines using Azure DevOps
 * Develop and deploy data science solutions, including LLM-based features
 * Work with Azure cloud services to build scalable, production-grade solutions
 * Collaborate with product and engineering teams to deliver data-driven features
 * Troubleshoot and performance tune complex SQL workloads


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