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 DoThe 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. 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 DoWork 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.
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.
Experience with geospatial data analysis and processing
Experience with Docker
Experience with machine learning infrastructure
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.
By applying for this position, you acknowledge that you agree to the Mapbox Privacy Policy which is linked here.
Mapbox participates in E-Verify to confirm employee work authorization. Please refer to the Notice of E-Verify Participation and Right to Work posters for more information.
We are committed to a fair and equitable hiring process. We do not discriminate against any protected class.
#LI-Remote
Skills Required
- 5+ years building scalable backend systems and data pipelines.
- Hands-on experience with AWS Lambda, S3, Athena, Glue, and EMR.
- Strong proficiency in SQL.
- Strong proficiency in Python.
- Proficiency in at least one of NodeJS, Scala, or Java for backend services and data processing.
- Demonstrated history designing batch and real-time data processing systems.
- Familiarity with Apache Spark or other Hadoop-based technologies.
- Familiarity with CI/CD processes.
- Experience introducing quality and operational metrics into a data ETL pipeline.
- Experience integrating data with APIs and querying data through APIs.
- Experience with AI tools in the software development lifecycle.
- Ability to document work, lead presentations, participate in design and code reviews, and mentor other engineers.
Mapbox Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Mapbox and has not been reviewed or approved by Mapbox.
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Healthcare Strength — Healthcare coverage is positioned as a standout, including medical, dental, and vision options alongside HSA funding and mental-health support. Employee-only premiums are described as fully covered, with additional programs such as Lyra highlighted as part of the package.
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Equity Value & Accessibility — Equity is framed as a meaningful component of total compensation, with stock options and perceived upside repeatedly emphasized. Vesting is described as structured over four years, supporting longer-term participation in the company’s value creation.
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Leave & Time Off Breadth — Time-off policies are characterized as broad and flexible, including unlimited PTO with encouragement to take meaningful time away and additional paid volunteer time. Leave offerings are also described as strong, reinforcing the overall non-cash value of the rewards package.
Mapbox Insights
What We Do
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 3.5 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.
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