• 1-year contract, renewable
• Hybrid work arrangement
• Government project

General Requirements

• 4 years of experience in supporting the development of scalable, data-driven products in a government environment.
• Able to communicate well, with strong conviction in the Government’s mission and good user management skills
• Experienced in running major projects with strong management skills
• Able to think of the big picture while being able to deep-dive into details when required
• Comfortable being hands-on and going onsite (e.g. project sites) if required

Responsibilities

• Design, develop and deploy data tables, views and marts in data warehouses, operational data stores, data lakes and data virtualization environments
• Perform data extraction, cleaning, transformation, and data flow management
• Design, build, launch and maintain efficient and reliable large-scale batch and real-time data pipelines with data processing frameworks
• Integrate and collate data silos in a scalable and compliant manner
• Collaborate with Product Managers, Data Architects, Business Analysts, Frontend Developers, Designers and Data Analysts to build scalable data-driven products
• Develop backend APIs and work on databases to support applications
• Work in an Agile environment that practices Continuous Integration and Delivery
• Work closely with fellow developers through pair programming and code review processes

GIS / Spatial Skillsets

• Familiar with GIS platforms such as ArcGIS Server and PostGIS
• Able to use spatial Python libraries such as GeoPandas and Shapely
• Build scalable geospatial data pipelines for ingestion, transformation, storage, and quality checks from multiple government sources
• Implement data cataloging, metadata, lineage, and security; optimize storage and performance for GIS analytics (e.g. PostGIS, data lakes)
• Provide reliable data services and contracts to support downstream GIS analytics and front-end visualizations, collaborating closely with GIS and frontend teams
• Apply data validation, cleansing, reprojection, metadata, and data lineage for geospatial data
• Design enterprise geospatial data models, schemas, pipelines, and services; build or configure web map services and front-end visualization components
• Ensure data quality, standards compliance (ISO 19115/19139, OGC), governance, and operational reliability of GIS data assets