Data Engineer – GIS, Geospatial

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Applaudo

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2013

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Applaudo is a nearshore software development company that helps businesses accelerate their digital transformation. With over a decade of experience, Applaudo partners with some of the world’s most admired brands to streamline IT solutions, optimize delivery costs, and modernize their digital infrastructure. The company offers a range of services including innovation and experience design, development and maintenance, quality assurance, cloud solutions, artificial intelligence, and cybersecurity. Applaudo is known for its expertise in data solutions and app modernization, and has a strong presence in industries like sports, media and entertainment, retail, consumer packaged goods, and financial services. Headquartered in Austin, TX with offices in San Salvador, Applaudo blends top-tier software development talent with cutting-edge technology to drive business growth for its clients.

📋 Description

• 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