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Software Development Engineer II, Data Boundaries

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Mapbox
Full Time position
Listed on 2026-06-18
Job specializations:
  • IT/Tech
    Data Engineering, Data Analyst
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below

Overview

Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox equips organizations with the full set of tools to power the navigation of people, packages, and vehicles. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences for their customers.

What

We Do

Mapbox Boundaries is an expertly curated set of global boundary data that allows you to add boundaries to your maps, dashboards, and data visualizations. Mapbox Boundaries consists of multiple data layers that are cartographically matched, georeferenced, and processed as a Mapbox vector tileset ready for integration with maps and data. From business intelligence analysis and data journalism to territory planning and logistics management, customers utilize boundary maps data in countless solutions.

Recent

Boundaries Blog Posts
  • Advanced Geospatial Analysis with Mapbox Boundaries Flat File Format
  • Expanded Coverage with Mapbox Boundaries 4.3
  • Introducing the Mapbox Snowflake Native App
  • How Topology Improves GIS Data Quality
  • Expanding the Boundaries of Visualization
Team Context

Our Boundaries team is a part of the Search Data organization that supplies address, boundaries, place, and points of interest (POI) data for global searches in countries around the world. Search is crucial for our customers’ applications and we are a key partner to the Maps and Navigation organizations ther you’re trying to find a place among the vast ocean of data on a global map or to find the exact location of a venue a few miles down the road, Search is in the critical path of our customers’ experiences.

What

You ll Do

Our world is not static and, therefore, our data cannot be static. It needs to be constantly updated and available for Mapbox developers to utilize when they want to build a BI dashboard, create a navigation app, or customize the world for their audience. We want to expand our Boundaries data offerings to allow our users to consume more of our data to create their version of a living map and location service.

This role will be focused on data engineering for feature expansion, improving coverage, increasing polygon precision, and building pipelines to ingest new data sources.

Responsibilities
  • Integrate third-party data sources from different geographic areas into our data pipelines
  • Inspect and edit geospatial data using open-source tools
  • Develop geographic data processing pipelines
  • Interface with engineers from other teams to understand their needs for geospatial data and provide solutions
  • Implement automated quality metrics to ensure we are continuously delivering high quality data to our customers
  • Mentor other software engineers to develop all aspects of their engineering skill sets, including participating in design and code reviews
What We Believe Are Important Traits For This Role
  • 5+ years of industry experience working with data pipelines
  • Proficiency in at least one modern programming language (like Python or Java) suitable for data processing
  • Expertise with GIS tools and processes, preferably open-source ones such as QGIS, Postgres/PostGIS, GDAL/OGR, GeoJSON
  • Experience with AWS technologies like S3 and Athena
  • Experience writing bash scripts and running command line tools
  • Working knowledge with SQL databases and ideally experience writing custom functions (e.g. with pl/pgsql)
  • Excellent debugging experience and performance profiling that includes running QA or test systems at scale
  • Strong experience with batch data processing and developed judgment to implement new data pipelines and best practices around it
  • Comfortable working with a git-based environment (such as Git Hub)
  • Familiarity with Docker
  • Familiarity with CI/CD processes
  • Integrating data with APIs and querying data through APIs
  • Familiarity working with Iceberg, Glue and AWS Step Functions
What We Value
  • We value high-performing creative individuals who dig into problems and opportunities.
  • We believe in individuals being their whole selves  commit to this through supportive health care,…
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