Micro Lab Tech

Certified Group; Wollongong City Council; Remote; AUD 120,000 - 180,000; Full time

Benefits offered by this job

Learning budget

Performance bonuses

Wellbeing support

Job summary

Halo Labs is seeking a senior data engineer to design, develop, and maintain scalable data pipelines in a remote-first environment. You will build production-grade ETL/ELT workflows on Databricks, Azure and AWS, and collaborate with software engineers to embed data services into the SaaS product architecture.

The role requires strong Python, SQL, and PySpark skills, plus hands-on experience with Azure Databricks, Data Factory, and DevOps practices.

Qualifications

• Strong hands-on experience with Azure services including Databricks, Azure Data Factory, Azure SQL, Azure Storage, and Azure DevOps.
• Practical experience with AWS services relevant to modern data platforms (S3, Lambda, RDS, Glue, IAM, etc.).
• Advanced proficiency in Python, SQL, and PySpark for large-scale distributed data processing.

Responsibilities

• 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 environments.
• 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.

Skills

Azure Databricks

Python

PySpark

SQL

Azure DevOps

CI/CD

Education

Degree in Computer Science or related field

Tools

Databricks

Azure Data Factory

Azure SQL

Job description

What Micro Lab Tech Jobs are in Wollongong

Showing 2 Micro Lab Tech jobs in Wollongong

Administrative Assistant - Remote Part Time Research Panelist (Up To $1550/Week)

Job Title: Administrative Assistant Work From Home - Remote Part Time Research Panelist

Part-Time Focus Group Participants - Remote Work From Home (Up To $1550/Week)

Job Title: Administrative Assistant Work From Home - Remote Part Time Research Panelist

Part-Time Focus Group Participants - Remote Work From Home (Up To $1550/Week)

Description:

Our company is seeking individuals to participate in National & Local Paid Focus Groups, Market Research Panel, and Phone Interviews.

With most of our paid focus group studies, you have the option to participate remotely online or in-person. This is a great way to earn additional income from the comfort of your home.

We need participants on the following topics:

• Child Related (individuals with children 18 yrs or younger)
• Cell Phones (Apple, Android, or Windows.Prepaid or Contract)
• Entertainment (TV shows, movies, and video games)
• Food (If you buy fast food, casual dining, or upscale dining)
• Sports (Casual viewers and die-hard fans)
• Electronics (Tell us which devices you prefer and why)
• Pets (Animal lovers needed! Dogs, cats, and other pets)
• Automobiles (Do you own, make payments, or lease your vehicle?)

Responsibilities:

• Show up at least 10 minutes prior to discussion start time.
• Participate by completing written and oral instructions.
• Complete written survey provided for each panel.
• MUST actually use products and/or services, if provided. Then be ready to discuss PRIOR to meeting date.

Qualifications:

• Must have either a smart phone with working camera or webcam on desktop/laptop.
• Must have access to a reliable internet connection
• Desire to fully participate in one or several of the above topics
• Ability to read, understand, and follow oral and written instructions.
• Administrative Assistant experience is not necessary

Job Benefits:

• Flexibility to take part in discussions online or in-person.
• No commute needed if you choose to work from home remotely.
• No minimum hours. You can do this part-time or full-time
• Enjoy free samples from our sponsors and partners in exchange for your honest feedback of their products.
• You get to review and use new products or services before they are launched to the public.

Compensation:

• $30-$75 (per 1 hour session)
• $950-$1550 (multi-session studies)

This position is perfect for anyone looking for temporary, part-time or full-time work. The hours are flexible and no previous experience is needed. If you are an administrative assistant or someone just looking for a flexible part time remote work at home job, this is a great way to supplement your income.

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 new ideas and open conversations, all in a respectful environment.

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 environments

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/CD pipelines using Azure DevOps, Git, and Azure Pipelines for automated deployment and testing of data workloads

Apply infrastructure-as-code and environment management best practices across Azure and AWS

Optimise Spark jobs, cluster configurations, and storage strategies for performance and cost efficiency

Design and maintain robust data models, including dimensional models and SaaS-oriented data schemas

Implement data validation, monitoring, and alerting to ensure pipeline reliability and production stability

Provide technical mentorship and enforce engineering standards across the analytics and data engineering team

About you

Strong hands-on experience with Azure services including Databricks, Azure Data Factory, Azure SQL, Azure Storage, and Azure DevOps

Practical experience with AWS services relevant to modern data platforms (S3, Lambda, RDS, Glue, IAM, etc.)

Advanced proficiency in Python, SQL, and PySpark for large-scale distributed data processing

Deep experience configuring and managing Databricks clusters for scalable big data workloads

Experience building production-ready data pipelines in a SaaS or product-led engineering environment

Strong understanding of cloud-native data architecture, including data lakes, lakehouse architecture, and modular pipeline design

Experience integrating with third-party systems via APIs and secure data exchange mechanisms

Exposure to healthcare or regulated data environments, including handling sensitive data securely

Strong knowledge of data modelling, metadata management, and data governance principles

Experience implementing automated testing frameworks for data pipelines

Solid understanding of DevOps practices including Git workflows, branching strategies, and CI/CD automation

Degree in Computer Science, Engineering, Data Science, or related technical field

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