Data Engineer

We are seeking a Data Engineer to contribute to the delivery of enterprise geospatial dataflows and analytics pipelines supporting mission-critical outcomes within secure and complex environments. The role involves designing, developing, and maintaining geospatial data pipelines and workflows, implementing data ingestion, transformation, and delivery, and troubleshooting dataflow issues.

Requirements

• Experience in data engineering, data integration, or geospatial engineering roles with exposure to spatial data
• Hands-on involvement in ETL/ELT pipelines, including data transformation and validation
• Familiarity with data integration tools (e.g., Apache NiFi, FME) and SQL for data processing
• Basic scripting or automation skills (e.g., Python, PowerShell)
• Ability to follow engineering standards and work effectively within regulated environments
• Strong communication, teamwork, and learning mindset, with exposure to data quality, governance, and collaboration tools (e.g., JIRA, Confluence)

Benefits

• Generous Paid Time Off
• Life Days program
• Family Friendly certified workplace
• Leidos is an equal opportunities organisation