Software Development Engineer II, Data Platform

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 Do

The Data Platform team provides the foundational infrastructure, products, and tools for data applications that Mapbox Engineers on our Search, Navigation, and Maps teams build upon to deliver external customer-facing products and services. We support 300+ Mapbox Engineers located in North America, UK, Germany, Finland, Japan, Poland, and Minsk. 

We are distributed across the US, Canada and Finland. Outside of the Helsinki office, we work remotely, and mostly async. We believe in iterative process experimentation, quarterly team feedback surveys and are proud of our collaborative team environment that fosters growth and delivery at scale.

Our area of ownership includes Mapbox’s events ingestion pipeline that collects 40B GPS points per day and powers live traffic and Mapbox Movement, a human mobility dataset. We own “Loading Dock,” an internal ETL tool that processes petabytes of data per day. In addition, we are building a new MLOps platform from the ground up enabling Mapbox to deliver on our AI Navigation roadmap (e.g MapGPT,AI Nav SDK features, and more).

What You’ll Do

We are looking for a Software Development Engineer II (SDEII) who is passionate about building and delivering internal data tools, pipelines, and platforms that help grow the foundation of the Mapbox Platform.

As an SDEII on the Data Platform team, you can expect to:

• Support internal Mapbox engineers by building data infrastructure and tooling that addresses their needs.

• Work on our batch and streaming ingestion systems that ingest terabytes of data per day.

• Simplify and strengthen Mapbox’s processes and tools for designing, deploying, and monitoring data processing and querying workloads on AWS.

• Contribute to our data processing systems that launch thousands of EMR clusters a day and add to our data lake at petabyte scale.

• Promote a culture of operational excellence by testing and monitoring our systems and code, and being on-call to support the health of our services.

• Document your work and decision-making processes, and lead presentations and discussions in a way that is easy for others to understand.

• Uphold a culture of collaboration, transparency, creativity, inclusion, and data-driven decisions.

What We Believe are Important Traits for This Role

• Located in the US/Canada Eastern Time Zone.

• Experience designing, building, and maintaining tools and services on AWS.

• Experience with some or all of our tech stack: Node.js, Python, Scala, Spark, Airflow, and AWS (including Lambda, EMR, ECS and Kinesis)

• Experience with distributed systems at scale.

• Track record of building self-service and high-quality tools for developers with a customer-driven mindset.

• A desire to share your expertise through documentation, mentorship, and both written and vocal discussion.

• A desire to work with individuals with diverse backgrounds, perspectives, and experiences.

• Autonomy and proactivity around driving work to completion in the face of ambiguity.

What We Value

In addition to our core values, which are not unique to this position and are necessary for Mapbox leaders:

• We value the written form, and creative individuals who dig into problems and see them as 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