Software Development Engineer I (Data Engineer), HD Maps

MapboxYesterday

Location

Mapbox Minsk

Type

Full Time

Salary

USD 75,000 – 110,000

Level

Junior

Role

Data Engineer

Posted

Apr 12, 2026

Full TimeJunior

The role

Summary

Mapbox is seeking a Software Development Engineer I (Data Engineer) for their HD Maps team, focusing on geospatial big data analytics and high-precision mapping solutions. The role involves developing scalable cloud applications using advanced technologies to support automotive and GIS data products, with a strong emphasis on algorithmic innovation and cross-functional collaboration.

What you'll do

Product Roadmap Development: Lead the initiation, design, and building of product roadmaps for algorithmic stages within cloud applications

Cloud Application Development: Code and develop algorithmic stages in cloud environments with high scalability using Python, SQL, AWS, and Spark

Cross-Team Collaboration: Collaborate across R&D teams to integrate analytics solutions into mapping products and align with strategic objectives

Customer Engagement: Communicate directly with customers in automotive and mapping industries across EU, US, Japan, and China

Business Alignment: Work with business development teams to ensure product roadmaps meet customer needs and market trends

What we look for

Technical

Programming LanguagesProficiency in Python and other data analysis programming languages

Cloud PlatformsExperience deploying GIS algorithms on scalable cloud platforms like AWS and Spark

Data VisualizationFamiliarity with data visualization libraries such as Matplotlib, Plotly, and D3.js

Education

DegreeBachelor's degree in Computer Science, Data Science, Geographic Information Systems, or related technical field

Experience

Entry-Level Experience0-2 years of experience in data engineering, cloud application development, or geospatial analytics

Skills

Required skills

PythonStrong programming skills in Python for data analysis and cloud application development

Cloud ComputingUnderstanding of AWS and Spark for scalable data processing

Data AnalysisAbility to perform complex data analytics and transformation

Nice to have

Geospatial ExpertiseBackground or interest in mapping, navigation, or automotive industry

Machine LearningKnowledge of machine learning techniques for geospatial data analysis

Open Source ContributionsContributions to geospatial or data analysis open-source projects

Compensation & benefits

Salary

USD 75,000 – 110,000 (annual)

Stock options

Available

Benefits

Healthcare

Comprehensive and supportive healthcare coverage

Parental Leave

Flexible parental leave policy supporting work-life balance

Professional Development

Environment of continuous learning and skill enhancement

Diversity and Inclusion

Commitment to building a diverse and inclusive workplace

Interview process

1
Initial Screening — Phone or video call with HR to discuss background and role fit
2
Technical Assessment — Online coding challenge or take-home project related to data engineering and geospatial analysis
3
Technical Interviews — Multiple rounds of interviews with engineering team members, focusing on technical skills and problem-solving
4
Team Fit Interview — Discussion with potential team members to assess cultural and collaborative alignment
5
Final Interview — Meeting with senior leadership to discuss long-term potential and company vision