Software Development Engineer II, Search Data

Role Description

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.

The Search Data team 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.

As AI becomes embedded in modern engineering workflows, we value engineers who can thoughtfully integrate AI into design, development, and decision-making.

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.

Qualifications

• 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

• We value high-performing creative individuals who dig into problems and opportunities.
• We believe in individuals being their whole selves at work.
• We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful.
• 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.

Compensation

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.

Other Information

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We are committed to a fair and equitable hiring process. We do not discriminate against any protected class.