Software Development Engineer II, Search Data

Software Development Engineer II, Search Data 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 The Search Data team https://www.mapbox.com/search-service supplies address, 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 at Mapbox. We process batch data from thousands of sources and use ETL data pipelines to prepare it for our search engines. This area of our work presents a range of challenging algorithmic, scaling, and quality assessment opportunities. As an Engineer on the Search Data team, you will work with diverse datasets at scale - hundreds of millions of records - and play a vital role in the development of complex mapping and navigation software for cars, web, and mobile devices. As AI becomes embedded in modern engineering workflows, we value engineers who can thoughtfully integrate AI into design, development, and decision-making. Our interview process will include discussion of how you use AI in your engineering workflow. WHAT YOU'LL DO - 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. WHAT WE BELIEVE ARE IMPORTANT TRAITS FOR THIS ROLE -  5+ 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. - Experience with AI tools in the software development lifecycle. NICE TO HAVE TRAITS FOR THIS ROLE - Experience with geospatial data analysis and processing - Experience with Docker - Experience with machine learning infrastructure WHAT WE VALUE In addition to our core values https://www.mapbox.com/about/val ... (truncated, view full listing at source)