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Data Integration Engineer

Canberra, Australian Capital Territory, Australia

Live, first seen by us 71 days ago
Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Design, build and optimise ETL/ELT pipelines across apps, databases and cloud platforms

  • Develop reusable integration frameworks, transformation logic and validation processes

  • Deliver secure, scalable integrations for new systems, migrations and platform upgrades

  • Contribute to testing, automation, CI/CD and continuous improvement of the data platform

From the employer’s posting
Design, build, and optimise ETL/ELT pipelines that integrate data across enterprise applications, databases, cloud platforms, data warehouses, and analytics environments.
Develop reusable integration frameworks, transformation logic, validation processes, and monitoring capabilities
Support the delivery of new business initiatives, system implementations, data migrations, and platform upgrades by providing secure and scalable integration solutions.
contributing to testing, automation, CI/CD practices, and continuous improvement of the data platform

What you’ll bring

All qualifications

Core experience

  • Experience in data integration, ETL/ELT development, data engineering, or a related technical discipline.
  • Experience with Apache Spark, dbt, Kafka, or other modern data transformation and event-streaming technologies.
  • Experience working with SQL and relational databases, data warehouses, and/or data lake environments.
  • Knowledge of real-time and event-driven integration patterns.
  • Experience using integration and data platform technologies such as Azure Data Factory, Databricks, Microsoft Fabric, Azure Synapse, AWS Glue, Informatica, Snowflake, SSIS, Talend, Redshift, BigQuery, or similar platforms.
  • Familiarity with Infrastructure as Code, cloud automation, and platform engineering practices.
Qualification wording
Experience in data integration, ETL/ELT development, data engineering, or a related technical discipline.
Experience with Apache Spark, dbt, Kafka, or other modern data transformation and event-streaming technologies.
Experience working with SQL and relational databases, data warehouses, and/or data lake environments.
Knowledge of real-time and event-driven integration patterns.
Experience using integration and data platform technologies such as Azure Data Factory, Databricks, Microsoft Fabric, Azure Synapse, AWS Glue, Informatica, Snowflake, SSIS, Talend, Redshift, BigQuery, or similar platforms.
Familiarity with Infrastructure as Code, cloud automation, and platform engineering practices.

About Leidos

At Leidos Australia, our work goes beyond a job title.

In the employer’s words · Read in context

Apply at Leidos

Posting record

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Status in our records
Live
First seen by us
Sep 1, 202671 days ago
Recorded sightings
123
Last seen by us
Nov 11, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 71

Up longer than most. Similar jobs usually come down between day 6 and day 55.

Well past Leidos’s usual: its jobs come down by about day 27.

From 13,018 similar postings that came down, and 307 of Leidos’s. Coming down is not always a hire.

Leidos is hiring

41 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Engineer hiring is picking up
  • Takes jobs down at a usual pace
  • 20% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Java
  • Python
  • SQL
  • AWS
  • Azure
  • BigQuery
  • Databricks
  • dbt
  • Kafka
  • Power BI
  • Redshift
  • Snowflake
  • Spark
  • Tableau
  • PySpark
  • GCP
Where the posting names them
- Experience with cloud environments such as Microsoft Azure, AWS, or Google Cloud. - Experience using programming or scripting languages such as Python, SQL, PySpark, Java, or similar technologies. - Understanding of source control, CI/CD pipelines, DevOps practices, and secure data management principles including access controls, encryption, and privacy requirements.
- Experience in data integration, ETL/ELT development, data engineering, or a related technical discipline. - Experience working with SQL and relational databases, data warehouses, and/or data lake environments. - Experience using integration and data platform technologies such as Azure Data Factory, Databricks, Microsoft Fabric, Azure Synapse, AWS Glue, Informatica, Snowflake, SSIS, Talend, Redshift, BigQuery, or similar platforms.
- Experience working with SQL and relational databases, data warehouses, and/or data lake environments. - Experience using integration and data platform technologies such as Azure Data Factory, Databricks, Microsoft Fabric, Azure Synapse, AWS Glue, Informatica, Snowflake, SSIS, Talend, Redshift, BigQuery, or similar platforms. - Capability in developing integrations across APIs, web services, cloud platforms, databases, and common data formats including JSON, XML, CSV, Parquet, and Avro.
- Knowledge of data transformation, mapping, validation, reconciliation, metadata, lineage, governance, and data quality practices. - Experience with cloud environments such as Microsoft Azure, AWS, or Google Cloud. - Experience using programming or scripting languages such as Python, SQL, PySpark, Java, or similar technologies.
Advantageous - Experience with Apache Spark, dbt, Kafka, or other modern data transformation and event-streaming technologies. - Knowledge of real-time and event-driven integration patterns.
- Familiarity with Infrastructure as Code, cloud automation, and platform engineering practices. - Exposure to analytics and visualisation platforms such as Power BI or Tableau. - Experience working within Agile, DevOps, or ITIL delivery environments.

Your next step

Complete your application on leidos.wd5.myworkdayjobs.com. The employer’s form will show what is required.

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  • Your application status lives in that employer’s Candidate Home, under the same sign-in.

Already applied? Track this application

About Leidos

People
About 37,274 in 2024.Benefit plan filings (Form 5500)
Company
Listed as LDOS.
H-1B visas
22 approved for new hires in fiscal 2025.US Citizenship and Immigration Services

Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 834, the most 1,323, and the latest week had 1,323.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

About Leidos Australia

At Leidos Australia, our work goes beyond a job title. We design, build, operate and support the systems, services and capabilities that help protect and advance the Australian way of life.

Backed by a global organisation of more than 40,000 people, our Australian team of around 2,000 has partnered with government, defence and national security customers for more than 30 years. We deliver mission-critical solutions where reliability, trust and purpose matter.

Leidos is a destination for people who want their work to have purpose, their contribution to be recognised, and their career to grow without needing to fit a single mould. Meaningful work is supported by benefits, flexibility and career pathways that help you grow while balancing life outside work. This includes:

  • Flex Your Way – Tailor work to your life with options including Life Days (up to 12 extra days off per year), part-time arrangements, job sharing, and compressed hours.
  • Wellbeing That Matters – Free access to Headspace and MeQuilibrium, plus dedicated wellness spaces to support your mental, physical, and emotional wellbeing.
  • Learn Without Limits – Access over 120,000 on-demand courses, alongside technical, project management, leadership, and professional development opportunities.
  • Work That Makes an Impact – Contribute to nationally significant projects that matter, solve complex challenges, and accelerate your career through unique growth opportunities.
  • Build Your Future – Whether you're deepening technical expertise or preparing for leadership, we'll invest in your development every step of the way.
  • And Much More – These are just a few of the ways we invest in our people and help them thrive.

About the Team

You’ll join a team where people work with integrity, inclusion, innovation, agility, collaboration and commitment. In practice, that means sharing ownership, solving complex problems together and staying connected to the customer context, the purpose behind the work and how each role contributes to meaningful outcomes.

The Civil Digital Modernisation business delivers IT services to Australian Federal and State Government departments and agencies to accelerate digital modernisation and ensure secure, resilient, and adaptive environments that meet evolving regulatory, compliance, and business needs. Our approach integrates advancing data, AI, cloud, and automation delivering agility, security, efficiency, and innovation at scale.

The Opportunity

As a Data Integration Engineer, you will play a key role in enabling trusted, high-quality data across the organisation by designing and delivering scalable integration solutions that connect systems, platforms, and business functions. Working closely with architects, engineers, analysts, and stakeholders, you will help ensure data is accessible, reliable, and fit for decision making.

  • Design, build, and optimise ETL/ELT pipelines that integrate data across enterprise applications, databases, cloud platforms, data warehouses, and analytics environments.
  • Develop reusable integration frameworks, transformation logic, validation processes, and monitoring capabilities that improve data quality, reliability, and operational efficiency.
  • Support the delivery of new business initiatives, system implementations, data migrations, and platform upgrades by providing secure and scalable integration solutions.
  • Collaborate with technical and business stakeholders to translate requirements into practical outcomes, while contributing to testing, automation, CI/CD practices, and continuous improvement of the data platform.

About You

You are a data integration professional who enjoys solving complex data challenges and delivering reliable solutions that help organisations make better decisions. You bring a practical approach to integration design, a focus on data quality, and the ability to work collaboratively across technical and business teams.

Essential

  • Experience in data integration, ETL/ELT development, data engineering, or a related technical discipline.
  • Experience working with SQL and relational databases, data warehouses, and/or data lake environments.
  • Experience using integration and data platform technologies such as Azure Data Factory, Databricks, Microsoft Fabric, Azure Synapse, AWS Glue, Informatica, Snowflake, SSIS, Talend, Redshift, BigQuery, or similar platforms.
  • Capability in developing integrations across APIs, web services, cloud platforms, databases, and common data formats including JSON, XML, CSV, Parquet, and Avro.
  • Knowledge of data transformation, mapping, validation, reconciliation, metadata, lineage, governance, and data quality practices.
  • Experience with cloud environments such as Microsoft Azure, AWS, or Google Cloud.
  • Experience using programming or scripting languages such as Python, SQL, PySpark, Java, or similar technologies.
  • Understanding of source control, CI/CD pipelines, DevOps practices, and secure data management principles including access controls, encryption, and privacy requirements.
  • Well-developed analytical, troubleshooting, and problem-solving skills, with the ability to investigate issues, identify root causes, and implement effective solutions.
  • Ability to communicate clearly with a range of stakeholders and translate business requirements into practical technical outcomes.

Advantageous

  • Experience with Apache Spark, dbt, Kafka, or other modern data transformation and event-streaming technologies.
  • Knowledge of real-time and event-driven integration patterns.
  • Familiarity with Infrastructure as Code, cloud automation, and platform engineering practices.
  • Exposure to analytics and visualisation platforms such as Power BI or Tableau.
  • Experience working within Agile, DevOps, or ITIL delivery environments.
  • A degree, diploma, or equivalent practical experience in Computer Science, Information Technology, Data Engineering, Software Engineering, or a related discipline.
  • Relevant certifications in cloud technologies, data engineering, database platforms, or integration technologies.

This role requires the successful applicant to hold a NV-1 Security Clearance.

What to Expect When You Apply

Our hiring process is designed to be straightforward, respectful and easy to navigate. If your skills, experience and qualifications look aligned with the role, our Talent Acquisition team will contact you to discuss the next stage. You can expect:

  • An initial conversation with our Talent Acquisition team
  • An interview with the hiring manager or interview panel
  • Any role-specific assessment, technical discussion or customer step required for the position

We’ll let you know what to expect before each stage, including who you’ll meet and how to prepare. If you need any adjustments or support during the process, please let us know.

Ready to explore what’s possible?

If this sounds like a role where you can make an impact and continue to grow, we’d like to hear from you. Please apply via the “Apply Now” button with your resume. If you have any questions about the role or recruitment process, please contact Ben George, Talent Acquisition.

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.

Original Posting:

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

Source details

View original posting ↗

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Pay

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Location & working pattern

Canberra, Australian Capital Territory, Australia

Working pattern and location restrictions need checking in the full posting.

Work authorization
- Relevant certifications in cloud technologies, data engineering, database platforms, or integration technologies. This role requires the successful applicant to hold a NV-1 Security Clearance. What to Expect When You Apply

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