Software Development Engineer II, Search Data

About this role

Join Mapbox's Search Data team to build and maintain large-scale ETL pipelines that process hundreds of millions of geospatial records daily. You'll design batch and streaming data ingestion systems on AWS, collaborate across teams to deliver address and POI data for global search, and mentor junior engineers while maintaining operational excellence.

What you'll do

• Build and support batch and streaming ingestion systems processing terabytes of data daily
• Design and optimize ETL pipelines for addresses, road networks, buildings, and POI data
• Partner with cross-functional teams to understand data requirements and deliver solutions
• Simplify deployment, monitoring, and management of data workloads on AWS
• Mentor engineers and lead code/design reviews while reducing technical debt
• Ensure system reliability through testing, monitoring, documentation, and on-call support

What they're looking for

• Backend system and data pipeline design (5+ years)
• AWS services (Lambda, S3, Athena, Glue, EMR)
• Python and SQL
• Modern backend language (NodeJS, Scala, or Java)
• Apache Spark or Hadoop-based technologies
• CI/CD processes
• Data quality and operational metrics
• API integration and querying

Benefits

• Work with geospatial and telemetry data at massive scale
• Comprehensive health care and parental leave
• Flexible work arrangements
• Mentorship and professional development opportunities
• Collaborative, inclusive engineering culture

Likely interview questions

• Describe a complex ETL pipeline you designed—what were the scaling challenges and how did you solve them?
• How have you used AWS services like Spark, EMR, or Glue to process large datasets, and what trade-offs did you consider?