Data Engineer III, Search Geocoding (Remote)
Jobright.ai
San francisco,
California,
United States
Information Technology
H-1B
Job posted on August 7, 2025
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Job Description:
Verified Job On Employer Career Site
Job Summary: Mapbox is the leading real-time location platform for location-aware businesses, providing tools for navigation across various applications. As a Data Engineer III, you will lead the development of software for mapping and navigation, working with large datasets to ensure high product quality and operational excellence.
Responsibilities: • Work with specialized telemetry and geospatial data sets including addresses, road networks, buildings, and points of interest (POIs). • Build and support our batch and streaming ingestion systems that ingest terabytes of data per day. • Interface with engineers from other teams to understand their needs for geospatial data and provide solutions. • Simplify and strengthen Mapbox’s processes and tools for designing, deploying, and monitoring data processing and querying workloads on AWS. • Document your work and decision-making processes, and lead presentations and discussions in a way that is easy for others to understand. • Mentor other software engineers to develop all aspects of their engineering skill sets, including participating in design and code reviews. • Promote a culture of operational excellence by meticulously testing and monitoring our systems and code, writing documentation, and being on-call to support the health of our services. • Reduce technical debt, share your knowledge, and invest in your teammates’ health and happiness, while optimizing application performance and accelerating feature velocity. • Uphold a culture of collaboration, transparency, creativity, inclusion, and data-driven decisions.
Qualifications:
Required: • 8+ years of experience building scalable backend systems and data pipelines. • Hands-on experience with AWS technologies like Lambda, S3, Athena, Glue, and EMR. • Strong proficiency in SQL and Python. • Proficiency in at least one modern programming language (NodeJS, Scala, or Java) suitable for backend services and data processing. • Demonstrated history of designing batch and real-time data processing systems and developed judgment to implement new data pipelines and best practices around it. • Familiarity working with Apache Spark or other Hadoop based technologies. • Familiarity with CI/CD processes. • Experience with introducing quality and operational metrics into a data ETL pipeline. • Integrating data with APIs and querying data through APIs.
Preferred: • Experience with geospatial data analysis and processing • Experience with Docker • Experience with machine learning
Company: Mapbox develops a location data platform for mobile and web applications. Founded in 2010, the company is headquartered in Washington, District of Columbia, USA, with a team of 501-1000 employees. The company is currently Late Stage. Mapbox has a track record of offering H1B sponsorships.
APPLY NOW
Job Summary: Mapbox is the leading real-time location platform for location-aware businesses, providing tools for navigation across various applications. As a Data Engineer III, you will lead the development of software for mapping and navigation, working with large datasets to ensure high product quality and operational excellence.
Responsibilities: • Work with specialized telemetry and geospatial data sets including addresses, road networks, buildings, and points of interest (POIs). • Build and support our batch and streaming ingestion systems that ingest terabytes of data per day. • Interface with engineers from other teams to understand their needs for geospatial data and provide solutions. • Simplify and strengthen Mapbox’s processes and tools for designing, deploying, and monitoring data processing and querying workloads on AWS. • Document your work and decision-making processes, and lead presentations and discussions in a way that is easy for others to understand. • Mentor other software engineers to develop all aspects of their engineering skill sets, including participating in design and code reviews. • Promote a culture of operational excellence by meticulously testing and monitoring our systems and code, writing documentation, and being on-call to support the health of our services. • Reduce technical debt, share your knowledge, and invest in your teammates’ health and happiness, while optimizing application performance and accelerating feature velocity. • Uphold a culture of collaboration, transparency, creativity, inclusion, and data-driven decisions.
Qualifications:
Required: • 8+ years of experience building scalable backend systems and data pipelines. • Hands-on experience with AWS technologies like Lambda, S3, Athena, Glue, and EMR. • Strong proficiency in SQL and Python. • Proficiency in at least one modern programming language (NodeJS, Scala, or Java) suitable for backend services and data processing. • Demonstrated history of designing batch and real-time data processing systems and developed judgment to implement new data pipelines and best practices around it. • Familiarity working with Apache Spark or other Hadoop based technologies. • Familiarity with CI/CD processes. • Experience with introducing quality and operational metrics into a data ETL pipeline. • Integrating data with APIs and querying data through APIs.
Preferred: • Experience with geospatial data analysis and processing • Experience with Docker • Experience with machine learning
Company: Mapbox develops a location data platform for mobile and web applications. Founded in 2010, the company is headquartered in Washington, District of Columbia, USA, with a team of 501-1000 employees. The company is currently Late Stage. Mapbox has a track record of offering H1B sponsorships.