Experience with geospatial data analysis and processing
Experience with Docker
Experience with machine learning infrastructure
What We Value
In addition to our core values, which are not unique to this position and are necessary for Mapbox leaders
We value high-performing creative individuals who dig into problems and opportunities
We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people
We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company
We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply
Our annual base compensation for this role ranges from $160,650 - $217,350 for most US locations and 5% to 10% higher for US locations with a higher cost of labor. Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Please discuss your specific work location with your recruiter for more information
We are committed to a fair and equitable hiring process. We do not discriminate against any protected class
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