
Spatial Data Engineer (ETL + Platform)
TAO Digital TaiwanAbout TAO Digital Taiwan
TAO is a Silicon Valley–based global tech company focused on AI product engineering, with 4,000+ professionals and a fast-growing Taiwan team. We build end-to-end AI products and partner long-term with global clients.
Job Description
We are seeking a Spatial Data Engineer (ETL + Platform) to join our team and help build, enhance, and operate scalable geospatial data solutions. In this role, you will be responsible for developing and maintaining end-to-end ETL pipelines that process, transform, and integrate spatial and non-spatial datasets into production systems and downstream platforms. You will work closely with cross-functional teams to ensure high data quality, optimize performance, and automate workflows while contributing to the reliability and scalability of geospatial data operations.
Job Requirement
Responsibilities
Design, develop, maintain, and optimize end-to-end ETL pipelines for spatial and non-spatial data processing.
Adapt and enhance existing data pipelines to support new data sources and evolving business requirements.
Develop validation frameworks and quality assurance processes to ensure high data accuracy and consistency.
Monitor, troubleshoot, and resolve pipeline and data processing issues to improve operational reliability.
Optimize pipeline performance, scalability, and efficiency for large-scale data processing environments.
Automate repetitive data processing and operational workflows to improve productivity and reduce manual effort.
Work with spatial databases and platforms to manage, transform, and analyze geospatial datasets.
Collaborate with engineering, GIS, and product teams to deliver reliable data solutions.
Document system architecture, workflows, and technical processes to support maintainability and knowledge sharing.
Requirements
Bachelor’s degree in Computer Science, GIS, Geospatial Science, Engineering, or a related field.
Solid understanding of and professional experience working with spatial data, coordinate systems, and spatial processing concepts.
Hands-on experience with FME.
Strong experience with GIS platforms such as QGIS or ArcGIS.
Proficient SQL skills with dedicated experience in PostgreSQL/PostGIS.
Experience working with both spatial and non-spatial datasets.
Strong analytical and problem-solving skills.
Ability to troubleshoot complex technical issues and improve system performance.
Excellent communication and collaboration skills.
Preferred Qualifications
Experience with scripting and workflow automation (e.g., Python programming).
Familiarity with data engineering practices and cloud environments.
Knowledge of version control systems and CI/CD practices.
What We’re Looking For
A detail-oriented engineer who enjoys solving complex geospatial data challenges.
Someone who can balance operational reliability with continuous improvement initiatives.
A collaborative team member who thrives in fast-paced and evolving environments.
Job Benefits
Please reach out to us.
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