Senior Backend Engineer, Search Data Pipelines

Mapbox; Washington (District of Columbia); On-site; USD 160,650 - 217,350; Full time

Job summary

Mapbox is seeking an experienced engineer for the Search Data team to build scalable backend systems and data pipelines. You will work with terabytes of telemetry and geospatial data, ingesting it via batch and streaming systems on AWS, and collaborating with cross‑team engineers to deliver robust data solutions.

You will mentor peers, emphasize operational excellence, and contribute to AI‑enabled workflows within the SDLC.

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.

Responsibilities

• 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.

Skills

Backend systems

Data pipelines

SQL

Python

NodeJS/Scala/Java

AWS

CI/CD

Apache Spark/Hadoop

APIs

AI in SDLC

Geospatial data

Docker

ML infrastructure

Tools

Docker

Apache Spark

Job description

Mapbox is seeking an experienced engineer for the Search Data team to build scalable backend systems and data pipelines. You will work with terabytes of telemetry and geospatial data, ingesting it via batch and streaming systems on AWS, and collaborating with cross‑team engineers to deliver robust data solutions.

You will mentor peers, emphasize operational excellence, and contribute to AI‑enabled workflows within the SDLC.