Software Development Engineer II (Senior Data Engineer), HD Core

Mapbox is the leading real-time location platform for a new generation of location-aware businesses. 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.

Responsibilities

Lead the initiation, design (requirements and specifications), and building of the product roadmap for algorithmic stages within cloud applications; Code and develop relevant algorithmic stages within cloud applications, utilizing technologies such as Python, SQL, AWS, and Spark, while ensuring high scalability; Collaborate across multiple R&D teams to seamlessly integrate analytics solutions into our mapping products; Work closely with engineering teams to align product development with strategic objectives; Engage in direct communication with trend-setting customers.

Requirements

Expert knowledge of at least one programming language (Python, Scala, or Java) and strong software engineering fundamentals; Extensive experience designing and building large-scale data processing applications and pipelines on AWS or another cloud platform; Strong SQL skills with deep understanding of query optimization, execution planning, and large-scale data processing; Deep understanding of distributed computing principles and hands-on experience with frameworks such as Spark; Experience designing and maintaining reliable data workflows using orchestration tools such as Airflow, Dagster, Prefect, or Luigi; Strong understanding of software architecture, design patterns, testing strategies, and CI/CD practices; Experience making architectural and technical decisions, balancing scalability, reliability, and maintainability; Strong analytical and problem-solving skills with the ability to drive complex technical initiatives; Excellent communication skills and experience collaborating across cross-functional teams; Fluent English, both written and spoken.

Nice to have

Prior experience in the mapping, navigation, or automotive industry; Knowledge of machine learning techniques for geospatial data analysis; Contributions to open-source geospatial or data analysis projects.

Benefits

Supportive health care; Parental leave; Flexibility for the things that come up in life