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Data Engineer II, Search Boundaries

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. 

What We Do

Mapbox Boundaries is an expertly curated set of global boundary data that allows you to add boundaries to your maps, dashboards, and data visualizations. Mapbox Boundaries consists of multiple data layers that come cartographically-matched, georeferenced, and processed as a Mapbox vector tileset ready for integration with your maps and data. From business intelligence analysis and data journalism to territory planning and logistics management, customers utilize boundary maps data in countless solutions.

Here are some of our recent Boundaries blog posts:

  1. Advanced Geospatial Analysis with Mapbox Boundaries Flat File Format

  2. Expanded Coverage with Mapbox Boundaries 4.3

  3. Introducing the Mapbox Snowflake Native App

  4. How Topology Improves GIS Data Quality

  5. Expanding the Boundaries of Visualization

Our Boundaries team is a part of the Search Data org that supplies address, boundaries, 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. Whether you’re trying to find a place among the vast ocean of data on a global map or to find the exact location of a venue a few miles down the road, Search is in the critical path of our customers’ experiences.

What You'll Do

Our world is not static and, therefore, our data cannot be static. It needs to be constantly updated and available for Mapbox developers to utilize when they want to build a BI dashboard, create a navigation app, or customize the world for their audience. We want to expand our Boundaries data offerings to allow our users to consume more of our data to create their version of a living map and location service. This role will be focused on data engineering for feature expansion, improving coverage, increasing polygon precision, and building pipelines to ingest new data sources.

As a Geospatial Data Engineer, you will have the opportunity to work on the Boundaries team at Mapbox - an exciting and challenging opportunity!

  • As a data engineer on the Boundaries team, you will:

  • Integrate third-party data sources from different geographic areas into our data pipelines

  • Inspect and edit geospatial data using open-source tools

  • Develop geographic data processing pipelines

  • Interface with engineers from other teams to understand their needs for geospatial data and provide solutions

  • Implement automated quality metrics to ensure we are continuously delivering high quality data to our customers

  • Mentor other software engineers to develop all aspects of their engineering skill sets, including participating in design and code reviews

What We Believe are Important Traits for This Role

  •  5+ years of industry experience working with data pipelines

  • Expertise with GIS tools and processes, preferably open-source ones such as QGIS, Postgres/PostGIS, GDAL/OGR, GeoJSON

  • Experience with AWS technologies like S3 and Athena (experience with Lambda, Glue, and EMR is a bonus)

  • Experience writing bash scripts and running command line tools

  • Working knowledge with SQL databases and ideally experience writing custom functions (e.g. with pl/pgsql)

  • Proficiency in at least one modern programming language (like Python or Java) suitable for data processing

  • Excellent debugging experience and performance profiling that includes running QA or test systems at scale

  • Strong experience with batch data processing and developed judgment to implement new data pipelines and best practices around it

  • Comfortable working with a git-based environment (such as GitHub)

  • Familiarity with Docker

  • Familiarity with CI/CD processes

  • Integrating data with APIs and querying data through APIs

  • Familiarity working with Apache Spark, Pandas, or Hadoop-based technologies is a bonus

Domain Knowledge

  • Experience working with OSM and Wikidata data

  • Cartography experience is a plus

  • Knowledge of global boundary disputes is a plus

Problem Solving Approach

  • Empathy when it comes to listening and understanding complex problems and finding simple solutions

  • Autonomy and ability to drive project completion in the face of ambiguity for the customer’s favor

  • Ability and willingness pivot to new languages, skills, and techniques quickly

  • Desire to share your expertise through documentation, mentorship, and both written and vocal discussion

  • Openness to building internal tools to accelerate workflows

What We Value

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 $139,400 - $188,600 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.

Mapbox is an EEO Employer - Minority/Female/Veteran/Disabled/Sexual Orientation/Gender Identity.

#LI-Remote

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What You Should Know About Data Engineer II, Search Boundaries, Mapbox

At Mapbox, we’re on the lookout for a talented Data Engineer II to join our Boundaries team! As part of the leading real-time location platform, you'll dive into an exciting world of geospatial data that empowers businesses to navigate the complexities of location-aware applications. In this role, you will play a critical part in expanding our Boundaries data offerings, ensuring they’re not just up-to-date, but continually evolving to meet the demands of our developers. Working here means you’ll be involved in integrating third-party data sources, developing processing pipelines, and collaborating with engineers across various teams to optimize our systems. Your expertise will help maintain the high-quality data that our users rely on every day. We're looking for someone with 5+ years of industry experience and a strong grip on GIS tools and data pipeline technologies. But we also value creativity and empathy in problem-solving, understanding that our dynamic landscape requires a hands-on approach and a willingness to innovate. If you've got experience with AWS technologies, SQL databases, and a love for cartography or global boundaries, you’ll fit right in. Join us at Mapbox, where you can grow your skills, mentor fellow engineers, and contribute to a learning environment that values your whole self. Together, let’s create amazing location experiences that delight our users around the globe!

Frequently Asked Questions (FAQs) for Data Engineer II, Search Boundaries Role at Mapbox
What are the main responsibilities of a Data Engineer II at Mapbox?

As a Data Engineer II at Mapbox, your key responsibilities include developing and optimizing geospatial data processing pipelines, integrating third-party data sources, and maintaining high-quality data for our Boundaries team. You will also work closely with other engineering teams to understand their needs for geospatial data solutions and mentor fellow engineers.

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What qualifications do I need to apply for the Data Engineer II position at Mapbox?

To apply for the Data Engineer II position at Mapbox, you should have at least 5 years of relevant industry experience, expertise in GIS tools such as QGIS and PostGIS, and familiarity with AWS services like S3, Athena, and Docker. Proficiency in programming languages like Python or Java for data processing is essential to succeed in this role.

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What technologies will I be using as a Data Engineer II at Mapbox?

In the Data Engineer II role at Mapbox, you will utilize various technologies including GIS tools, SQL databases, AWS technologies, and open-source data engineering tools. Comfort with scripting languages and experience in writing custom functions will also be important for developing efficient data pipelines.

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How does the Boundaries team at Mapbox contribute to the overall goals of the company?

The Boundaries team at Mapbox plays a vital role in enhancing geospatial data offerings that enable developers to create customized maps and applications. Our work ensures that boundary data is accurate, up-to-date, and easily accessible, which directly supports the quality and reliability of services provided by our clients across industry sectors.

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What is the work culture like for a Data Engineer II at Mapbox?

At Mapbox, the work culture is inclusive and collaborative. As a Data Engineer II, you will be part of a high-performing team that values creativity, empathy, and continuous learning. We encourage open communication, mentorship, and professional development, ensuring that every team member can thrive and contribute their unique perspectives.

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Common Interview Questions for Data Engineer II, Search Boundaries
Can you explain your experience with GIS tools and how it relates to the Data Engineer II role at Mapbox?

When discussing your experience with GIS tools, focus on specific projects where you've utilized tools like QGIS or PostGIS to analyze geospatial data. Highlight how this experience has prepared you for the challenges of the Data Engineer II role, particularly in terms of developing efficient data pipelines and ensuring high data quality.

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Describe a data pipeline you have built in the past. What technologies did you use?

Detail a specific data pipeline you've developed, mentioning the technologies you utilized. Discuss the purpose of the pipeline, the data sources integrated, and any challenges you faced, emphasizing how your problem-solving skills helped to create a reliable and efficient data flow.

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How do you ensure data quality in your engineering projects?

Explain your approach to maintaining data quality, such as implementing automated quality metrics, conducting thorough testing, and performing routine checks. Provide examples of how you've previously identified and resolved data quality issues to demonstrate your commitment to delivering high standards.

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What strategies do you use for debugging data pipelines?

Discuss specific techniques for debugging, including logging, version control, and systematic testing to identify performance bottlenecks. Emphasize your debugging experience in past projects and the importance of addressing issues proactively to minimize downtime.

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Can you describe your experience with AWS technologies relevant to this role?

Share your experience working with AWS services relevant to data engineering, such as S3 for storage, Athena for querying, and any additional services like Lambda or Glue. Specify how you've used these technologies in previous roles and how they can be beneficial in the Data Engineer II position.

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What is your process for gathering requirements from team members or stakeholders?

Outline your process for gathering requirements, which could include conducting interviews, holding collaborative meetings, and actively listening to understand needs. Highlight your experience in translating those needs into technical specifications or project plans.

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How do you prioritize tasks and manage timelines when building data solutions?

Discuss project management strategies you use, such as establishing timelines, breaking down tasks into manageable portions, and leveraging tools for tracking progress. Provide examples of how you've successfully delivered projects on schedule in past experiences.

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What do you know about Mapbox and its culture, and why do you want to join as a Data Engineer II?

Share what you admire about Mapbox, specifically its innovative approaches to location services and dedication to inclusivity within its culture. Reflect on how those values resonate with your own work ethos and your desire to contribute to a dynamic team in delivering exceptional geospatial solutions.

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Discuss your familiarity with integration of data through APIs. Can you provide a relevant example?

Talk about your experience integrating data through APIs, mentioning specific APIs you've worked with. Describe the context of your project, your role, and the outcome of successful integration, emphasizing how it enhanced the data pipeline or application functionality.

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How do you stay updated with the latest trends in data engineering and GIS technologies?

Explain the methods you use to stay informed about the evolving landscape of data engineering and GIS technologies. Include resources like online courses, technical blogs, forums, and community engagement, demonstrating your commitment to continuous learning and professional growth.

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Mapbox powers navigation for people, packages, and vehicles everywhere.

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Full-time, remote
DATE POSTED
January 11, 2025

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