Software Development Engineer I Data Engineer , HD Core - mapbox

Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. 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 that delight their customers.

WHAT WE DO

On the HD Maps team, we are at the forefront of geospatial big-data analytics and insights for customer market segments and product offerings. Our expertise is pivotal in deploying GIS algorithmic stages into scalable production cloud applications, leveraging platforms like AWS and Spark.

We work on Mapbox's award-winning high-precision maps (“HD Maps”) product family, spanning across ADAS, AV, and Non-Automotive GIS data customers in numerous projects. We cover everything from data and systems analysis to automotive and cloud application architecture, including compute, storage, cost, and performance assessments.

WHAT YOU'LL DO

As a Software Development Engineer you can expect to:

• Design, develop, and maintain algorithmic components for cloud applications.
• Implement scalable solutions using technologies such as Python, SQL, AWS, and Spark.
• Participate in the design and implementation of new features and improvements for cloud-based mapping products.
• Collaborate with cross-functional R&D teams to integrate analytics solutions into our products.
• Work closely with senior engineers to improve system performance, reliability, and scalability.
• Contribute to code reviews, testing, and continuous improvement of development processes.
• Collaborate with product managers and engineering teams to deliver high-quality solutions aligned with customer and business needs.

WHAT WE BELIEVE ARE IMPORTANT TRAITS FOR THIS ROLE

• Good knowledge of at least one programming language (Python, Scala, or Java).
• Experience building data processing applications or pipelines on AWS or another cloud platform.
• Strong SQL skills and understanding of query execution and optimization principles.
• Good understanding of distributed computing concepts and experience with distributed data processing frameworks (e.g., Spark).
• Experience with workflow orchestration tools such as Airflow, Dagster, Prefect, or Luigi.
• Understanding of software engineering best practices, including version control, testing, and code reviews.
• Strong analytical and problem-solving skills with attention to detail.
• Ability to communicate technical ideas effectively and collaborate within cross-functional teams.
• Good communication skills in English, both written and spoken.