Senior Software Development Engineer - Big Data

July 2

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Mapbox

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API • Transport • Telecommunications

Mapbox is a leading provider of custom online maps, offering APIs and SDKs that allow developers to integrate highly customizable maps into their web and mobile applications. Mapbox's services enable real-time data updates, immersive mapping experiences, and advanced navigation features tailored to specific industries like automotive and travel. Their solutions include Mapbox Studio for map design, Mapbox GL JS for web maps, and various SDKs for mobile and automotive navigation. Companies rely on Mapbox for applications in real estate, logistics, and business intelligence, benefiting from real-time, high-quality geospatial datasets and tools.

501 - 1000 employees

Founded 2010

🔌 API

🚗 Transport

📡 Telecommunications

💰 Venture Round on 2021-04

📋 Description

• 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”) products family, spanning across ADAS, AV, and Non-Automotive GIS data customers in numerous projects.

🎯 Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, Geographic Information Systems (GIS), or a related field. • Proficiency in Python or other programming languages commonly used in data analysis and cloud application development. • Experience deploying algorithms within scalable cloud applications like AWS and Spark. • Familiarity with data visualization libraries (e.g., Matplotlib, Plotly, D3.js) to effectively communicate insights. • Strong problem-solving skills with meticulous attention to detail. • Excellent communication skills and a proven ability to collaborate effectively across cross-functional teams. • Prior experience in the mapping, navigation, or automotive industry. • Understanding of geospatial data concepts and tools (GeoJSON, PostGIS, QGIS, etc.). • 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 • innovating on how we think about supporting our people.