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Applaudo

Data Engineer – GIS, Geospatial

Applaudo

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.

Posted 8/15/2026full-timeRemote • 🇧🇷 BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and maintaining ingestion pipelines for operational and geospatial data, with strong proficiency in Python, SQL, and Google Cloud Platform tools like BigQuery. Capable of implementing automated data validation and quality controls while collaborating effectively within distributed engineering teams.

Highest-signal resume keywords
Python ProgrammingSQL ProficiencyGoogle Cloud PlatformGeospatial Data ManagementETL/ELT Pipeline Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data EngineeringAutomated Data ValidationData Quality ControlsRelational Data ModelingSpatial SQLGeoJSONREST API IntegrationGIS TechnologiesData TransformationsTechnical Documentation
Soft Skills
CollaborationProblem-SolvingCommunication
Tools & Technologies
BigQueryCloud SQLCloud ComposerApache AirflowArcGISAI-Assisted Development Tools
Certifications & Qualifications
Bachelor’s Degree in Computer ScienceData EngineeringInformation Systems
Industry Keywords
Geospatial DataLinear Referencing SystemsRoad-Network DataOperational FeedsData Discrepancies

Tech Stack

Tools & technologies
AirflowApacheBigQueryCloudETLGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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

Comp & perks
  • Remote work
  • 4-month temporary opportunity