Data Engineer – GIS, Geospatial
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Job Description
Data Engineer building cloud-based pipelines and BigQuery geospatial models for Applaudo’s AI-powered business solutions. Integrating GIS, road-network, API, sensor, and external data sources.
Responsibilities:
- Design, build, test, and maintain ingestion pipelines for operational and geospatial data sources
- Develop transformations connecting source datasets with standardized geographic and road-network references
- Implement and maintain geospatial data models and transformations in BigQuery
- Work with GIS and ArcGIS-based datasets, including geometry and location-referencing information
- Develop ingestion patterns for REST APIs, feeds, sensor data, and external sources
- Implement automated validation and data-quality controls across pipelines
- Troubleshoot data discrepancies, transformation issues, and integration defects
- Support integration testing, data-quality triage, and defect resolution through system acceptance
- Produce technical documentation and maintainable code following engineering standards
- Collaborate with data, application, platform, and other engineering disciplines in a distributed delivery team
- Participate in code reviews, technical discussions, ticketed work, and structured delivery processes
- Use AI-assisted engineering tools responsibly for development, testing, and troubleshooting
Requirements:
- Bachelor’s Degree in Computer Science, Data Engineering, Information Systems, or related field is desired, or equivalent professional experience
- 4+ years of professional experience in Data Engineering or similar roles
- Strong production experience with Python and SQL
- Production experience with Google Cloud Platform, particularly BigQuery, Cloud SQL, and Cloud Composer / Apache Airflow
- Experience designing, building, and maintaining ETL/ELT pipelines and cloud-based data transformations
- Hands-on production experience with geospatial and GIS data
- Experience with ArcGIS or comparable enterprise GIS technologies
- Understanding of Linear Referencing Systems, road-network data, route segmentation, or comparable linear geospatial models
- Experience with GeoJSON, geometry/geography data types, spatial transformations, and spatial SQL
- Experience integrating REST APIs, operational feeds, and third-party data sources
- Strong relational and analytical data modeling knowledge
- Experience implementing automated data validation, reconciliation, and data-quality controls
- Strong testing and technical documentation practices
- Proficiency with Git and collaborative software development workflows
- Experience using AI-assisted development tools such as Claude Code or equivalent
- Strong written and spoken English
- Ability to maintain at least four hours of daily overlap with U.S. Eastern business hours
Benefits:
- Remote work
- 4-month temporary opportunity
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