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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

As a Data Engineer II at Mapbox, you’ll be diving into a dynamic world of geospatial data transformation and integration! Mapbox stands at the forefront of location technology, empowering developers to create immersive mapping experiences that captivate users. Our Boundaries team plays a pivotal role in this, offering meticulously curated global boundary data that enhances applications across various industries. Your mission will involve building and refining data pipelines, integrating diverse data sources, and improving data quality, all while collaborating with talented engineers from different teams. Whether it’s enhancing the accuracy of polygons or implementing automated quality checks, your contributions will help shape the future of location services. If you have over 5 years of experience with data pipelines, a knack for GIS tools like QGIS or Postgres/PostGIS, and a passion for mentoring others, this position is designed for you. You’ll not only bring technical expertise in areas like AWS, SQL databases, and programming languages such as Python or Java but also embody Mapbox's values of creativity, empathy, and collaboration. Join us in navigating the boundaries of location intelligence and helping our users create living maps around the globe!

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

As a Data Engineer II at Mapbox, your key responsibilities will include integrating third-party data sources into existing data pipelines, developing geographic data processing solutions, and working closely with other engineering teams to meet their data needs. You’ll also play a vital role in maintaining high data quality through automated metrics and mentoring fellow engineers.

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What qualifications are needed for a Data Engineer II position at Mapbox?

To qualify for the Data Engineer II role at Mapbox, you should have at least 5 years of experience in data engineering, with a strong background in GIS tools, specifically open-source options like QGIS and Postgres/PostGIS. Proficiency in programming languages such as Python or Java, experience with AWS services, and familiarity with CI/CD processes are also essential.

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How does the Data Engineer II role contribute to Mapbox’s Boundaries team?

The Data Engineer II position is crucial within Mapbox’s Boundaries team, focusing on enhancing the boundaries data offerings. You will improve data coverage and polygon precision while building pipelines to ingest new data sources, ensuring that developers have access to accurate and updated geospatial data for their applications.

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What technologies will a Data Engineer II at Mapbox be working with?

A Data Engineer II at Mapbox will be working with a wide array of technologies, including AWS services like S3 and Athena, GIS tools, and programming frameworks such as Apache Spark and Pandas. You will also engage with version control systems like Git and be expected to implement best practices around data processing.

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

Mapbox fosters a collaborative and inclusive work culture where creativity and problem-solving thrive. As a Data Engineer II, you will not only work on exciting geospatial projects but also be encouraged to mentor others, share knowledge, and engage in a supportive environment that values diverse backgrounds and perspectives.

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Common Interview Questions for Data Engineer II, Search Boundaries
Can you describe your experience with GIS tools relevant to the Data Engineer II position?

In your answer, focus on specific GIS tools you have used, such as QGIS or Postgres/PostGIS. Discuss how you have employed these tools to manage and analyze geospatial data, maybe providing an example of a project where these skills were essential.

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How have you implemented data quality metrics in previous roles?

Share your strategies for maintaining data quality, such as automated validation processes or manual checks. Explain how these measures improved the data's integrity and quality in your past experiences.

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What is your approach to integrating third-party data sources?

Discuss your method for assessing, validating, and integrating third-party data sources into existing systems. Highlight any tools or frameworks you have used to facilitate this process and any challenges you overcame.

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How do you ensure efficient batch data processing?

Provide an overview of your experience with batch data processing, mentioning technologies or techniques that you have used. Discuss how you optimize performance and manage scalability in data pipelines.

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What programming languages are you proficient in for data processing?

Mention specific programming languages such as Python or Java, and describe your comfort level with them. You could include examples of how you’ve utilized these languages in previous projects to drive data processing tasks.

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Describe a challenging data engineering problem you faced and how you solved it.

Recount a specific challenge that required critical thinking and problem-solving skills. Describe the steps you took to analyze the issue, the solution implemented, and the outcome.

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How do you keep up with the latest technologies in data engineering?

Discuss the resources you utilize to stay updated, such as online courses, webinars, industry blogs, or participating in community forums. Highlight any recent technologies you’ve embraced in your work.

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Can you illustrate your experience with cloud technologies, particularly AWS?

Be prepared to discuss your specific experiences with AWS, defining the services you have used and in what contexts. Highlight any projects where these technologies played a significant role.

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What practices do you follow for version control and collaboration in a team setting?

Share your experience with version control systems like Git. Discuss how you collaborate with team members on projects and manage changes effectively as part of a larger development team.

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How do you approach mentorship in your work as a data engineer?

Talk about your philosophy on mentorship, including any previous experiences mentoring colleagues or junior engineers. Highlight how you foster an environment of learning and improvement within your team.

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Full-time, remote
DATE POSTED
January 11, 2025

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