Data Engineer (GIS)

Websparks

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Job Description

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