Data Engineer

Posted 14 Hours Ago
Campus, IL, USA
In-Office
118K-132K Annually
Mid level
Edtech • Healthtech • Professional Services
The Role
The Data Engineer will design, develop, and maintain data pipelines, support researchers through data management, and ensure compliance with governance requirements while communicating technical information clearly.
Summary Generated by Built In
  • Pro-Vice-Chancellor (Research Infrastructure)

  • Full-time, fixed-term position for up to 2 years

  • Base salary will be in the range $117,958.12 - $132,247.57 + super (HEW Level 8)

  • Based at our Herston Campus location

About This Opportunity

This is an exciting opportunity for a skilled and inquisitive Data Engineer to join a collaborative research and digital health environment that sits at the intersection of The University of Queensland and Queensland Health. Working within the Data Science Collaborative Research Platform and embedded in the Queensland Digital Health Centre, this role plays a critical part in delivering high‑impact research infrastructure that enables secure, scalable and meaningful use of health data. You will contribute to nationally significant initiatives including the Australian Health Data Evidence Network and the National Infrastructure for Federated Learning in Digital Health, supporting researchers to translate complex clinical data into insights that improve health outcomes.

Key responsibilities will include:

  • Designing, developing and maintaining robust ETL and ELT data pipelines to support research and analytics initiatives.

  • Extracting, transforming and managing data from integrated electronic medical record systems to meet research and governance requirements.

  • Providing expert technical advice and support to researchers and stakeholders across UQ and Queensland Health.

  • Producing high‑quality technical documentation, data lineage artefacts and clear explanations for technical and non‑technical audiences.

About You

You will bring a strong foundation in data engineering and a collaborative, purposeful mindset, along with:

  • A Bachelor’s degree or higher qualification in Computer Science, Information Technology or a related discipline.

  • Demonstrated experience designing and maintaining data pipelines using SQL and modern data engineering practices.

  • Proficiency in programming languages such as Python and experience working with relational and non‑relational databases.

  • Familiarity with cloud platforms, preferably Microsoft Azure, and contemporary DevOps or CI/CD practices.

  • Experience working with sensitive or confidential data and a clear understanding of secure data handling principles.

  • Strong documentation, communication and stakeholder engagement skills, with the ability to translate technical concepts into plain English.

  • Experience with tools such as Databricks, DBT or PowerBI, and exposure to clinical or healthcare datasets, will be highly regarded.

About UQ

As part of the UQ community, you’ll have the opportunity to work alongside some of the brightest minds from around the world, united by a shared purpose to create change together. UQ is a globally recognised, values‑led institution where collaboration, curiosity and ambition are encouraged, and where professional staff play a vital role in enabling research, teaching and community impact.

In 2025, UQ announced a major milestone in digital health research infrastructure, strengthening national capabilities in secure health data sharing and analytics. This work directly aligns with the mission of teams such as the Data Science Collaborative Research Platform, creating opportunities for staff to contribute to research that has real‑world impact across Australia’s health system.

Enjoy a range of benefits and rewards, including up to 26 weeks paid parental and primary care leave, 17.5% leave loading, flexible and hybrid working options, health and wellbeing programs, access to discounted study opportunities, on‑campus childcare, affordable parking, and salary packaging.

Interested?

For more information about this opportunity, please contact Dr Jodie Austin at [email protected].

For application inquiries, please reach out to the Talent Acquisition team at [email protected], stating the job reference number (below) in the subject line.

When you apply, please ensure you upload a resume and cover letter summarising how your background aligns to the ‘About You’ section.

Other Information

Pre‑employment checks may include verification of the right to work in Australia, qualifications, criminal history checks and other integrity and conduct requirements.

You must maintain unrestricted work rights in Australia for the duration of this appointment to apply. Employer sponsored work rights are not available for this appointment.

We’re dedicated to equity, diversity and inclusion. We recognise that career pathways and opportunities differ, and encourage applications from candidates who may not meet every criterion but can demonstrate their potential relative to opportunity. We’re also happy to support any accessibility needs throughout the recruitment process.

Applications close Thursday 28 May 2026 at 11.00pm AEST (R‑63033).
Please note that interviews have been tentatively scheduled for the week commencing 1 June 2026.

Skills Required

  • Bachelor's degree in Computer Science, Information Technology or related discipline
  • Experience designing and maintaining data pipelines using SQL
  • Proficiency in Python programming
  • Familiarity with cloud platforms, preferably Microsoft Azure
  • Experience with tools such as Databricks, DBT or PowerBI
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The Company
7,500 Employees
Year Founded: 1909

What We Do

The University of Queensland is a prestigious educational institution known for its world-class research facilities and comprehensive educational programs across multiple disciplines.

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