{"id":182446,"url":"https://alion.io/job/leidos-data-integration-engineer","title":"Data Integration Engineer","company":{"id":7791,"name":"Leidos","domain":"leidos.com","url":"https://alion.io/company/leidos","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":81,"open_postings":131,"ghost_share":0,"stale_share":0.74,"repost_share":0,"time_to_fill_p50_days":27,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Canberra, Australia","Australia"],"countries":["AU"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":67000,"max_usd":143000,"period":"year","method":"role_country_seniority_unknown","sample_n":9},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"AWS Glue","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Informatica","optional":false},{"name":"ITIL","optional":false},{"name":"Java","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"SSIS","optional":false},{"name":"Tableau","optional":false},{"name":"Talend","optional":false}],"status":"live","first_seen_at":"2026-09-01T02:58:38Z","employer_posted_date":"2026-09-01","last_verified_at":"2026-10-16T10:59:08Z","board_verified":true,"closed_at":null,"days_open":45,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":45},"description":"About Leidos Australia\nAt 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.\nBacked 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.\nLeidos 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:\n 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.\nWellbeing That Matters - Free access to Headspace and MeQuilibrium, plus dedicated wellness spaces to support your mental, physical, and emotional wellbeing.\nLearn Without Limits - Access over 120,000 on-demand courses, alongside technical, project management, leadership, and professional development opportunities.\nWork That Makes an Impact - Contribute to nationally significant projects that matter, solve complex challenges, and accelerate your career through unique growth opportunities.\nBuild Your Future - Whether you're deepening technical expertise or preparing for leadership, we'll invest in your development every step of the way.\nAnd Much More - These are just a few of the ways we invest in our people and help them thrive.\nAbout the Team\nYou’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.\nThe 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.\nThe Opportunity\nAs 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.\nDesign, build, and optimise ETL/ELT pipelines that integrate data across enterprise applications, databases, cloud platforms, data warehouses, and analytics environments.\nDevelop reusable integration frameworks, transformation logic, validation processes, and monitoring capabilities that improve data quality, reliability, and operational efficiency.\nSupport the delivery of new business initiatives, system implementations, data migrations, and platform upgrades by providing secure and scalable integration solutions.\nCollaborate 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.\nAbout You\nYou 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.\nEssential\nExperience in data integration, ETL/ELT development, data engineering, or a related technical discipline.\nExperience working with SQL and relational databases, data warehouses, and/or data lake environments.\nExperience 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.\nCapability in developing integrations across APIs, web services, cloud platforms, databases, and common data formats including JSON, XML, CSV, Parquet, and Avro.\nKnowledge of data transformation, mapping, validation, reconciliation, metadata, lineage, governance, and data quality practices.\nExperience with cloud environments such as Microsoft Azure, AWS, or Google Cloud.\nExperience using programming or scripting languages such as Python, SQL, PySpark, Java, or similar technologies.\nUnderstanding of source control, CI/CD pipelines, DevOps practices, and secure data management principles including access controls, encryption, and privacy requirements.\nWell-developed analytical, troubleshooting, and problem-solving skills, with the ability to investigate issues, identify root causes, and implement effective solutions.\nAbility to communicate clearly with a range of stakeholders and translate business requirements into practical technical outcomes.\nAdvantageous\nExperience with Apache Spark, dbt, Kafka, or other modern data transformation and event-streaming technologies.\nKnowledge of real-time and event-driven integration patterns.\nFamiliarity with Infrastructure as Code, cloud automation, and platform engineering practices.\nExposure to analytics and visualisation platforms such as Power BI or Tableau.\nExperience working within Agile, DevOps, or ITIL delivery environments.\nA degree, diploma, or equivalent practical experience in Computer Science, Information Technology, Data Engineering, Software Engineering, or a related discipline.\nRelevant certifications in cloud technologies, data engineering, database platforms, or integration technologies.\nThis role requires the successful applicant to hold a NV-1Security Clearance.\nWhat to Expect When You Apply\nOur 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:\nAn initial conversation with our Talent Acquisition team\nAn interview with the hiring manager or interview panel\nAny role-specific assessment, technical discussion or customer step required for the position\nWe’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.\nReady to explore what’s possible?\nIf 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.\nIf 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.\nOriginal Posting:\nFor 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.\n Pay Range:\nThe Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. 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