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
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