Software Development Engineer II (Data Engineer), HD Maps

Mapbox2 days ago

Location

Mapbox Minsk

Type

Full Time

Salary

USD 95,000 – 135,000

Level

Mid

Role

Data Engineer

Posted

Apr 17, 2026

Full TimeMid

The role

Summary

Mapbox is seeking a Software Development Engineer II (Data Engineer) for their HD Maps team to lead algorithmic development in geospatial big data analytics. The ideal candidate will design and build cloud applications using Python, AWS, and Spark, focusing on high-precision mapping solutions for automotive and GIS markets.

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 using Python, SQL, AWS, and Spark with a focus on high scalability

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

Customer Engagement: Engage directly with customers in automotive and mapping industries across EU, US, Japan, and China to understand market needs

What we look for

Technical

Programming LanguagesProficiency in Python and other data analysis programming languages

Cloud PlatformsExperience with AWS and Apache Spark for deploying scalable cloud applications

Geospatial TechnologiesStrong understanding of geospatial data concepts and tools like GeoJSON, PostGIS, QGIS

Education

Academic QualificationBachelor's or Master's degree in Computer Science, Data Science, Geographic Information Systems (GIS), or related field

Experience

Cloud Application DevelopmentProven experience deploying GIS algorithms in scalable cloud environments

Data AnalysisDemonstrated expertise in data visualization and insight communication

Skills

Required skills

PythonAdvanced programming skills for data analysis and cloud application development

AWSExpertise in cloud infrastructure and scalable application deployment

Geospatial Data AnalysisComprehensive understanding of geospatial data manipulation and visualization

Nice to have

Machine LearningKnowledge of machine learning techniques for geospatial data analysis

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

Automotive Industry ExperiencePrior experience in mapping, navigation, or automotive technology sectors

Compensation & benefits

Salary

USD 95,000 – 135,000 (annual)

Benefits

Healthcare

Comprehensive and supportive healthcare package

Parental Leave

Flexible parental leave policy supporting work-life balance

Learning Environment

Culture of continuous learning and professional development

Diversity and Inclusion

Commitment to building a diverse and inclusive workplace

Interview process

1
Initial Screening — Review of application and resume by hiring team
2
Technical Phone Screen — Discussion of technical skills and experience with data engineering manager
3
Technical Interview — In-depth technical assessment of geospatial data engineering skills
4
Final Interview — Meeting with team members and leadership to assess cultural fit and strategic alignment