Senior/Lead Software Data Engineer (Roads Team)

Mapbox1 months ago

Location

Mapbox Minsk

Workplace

Remote

Type

Full Time

Salary

USD 130,000 – 180,000

Level

Senior

Role

Data Engineer

Posted

Mar 21, 2026

Full TimeRemoteSenior

The role

Summary

Mapbox is seeking a Senior/Lead Software Data Engineer for their Roads Team to develop and optimize global road network data processing pipelines. The ideal candidate will be a skilled engineer who can take ownership of data infrastructure, implement innovative solutions, and contribute to high-definition mapping technologies in a dynamic, cross-functional environment.

What you'll do

Data Pipeline Development: Take ownership of existing data processing pipelines, improve scalability, and iterate on current infrastructure

Pipeline Implementation: Design and implement new data processing pipelines for road network mapping and navigation technologies

Performance Monitoring: Collect and monitor performance metrics to ensure optimal data processing efficiency

Security Implementation: Collaborate on and implement security best practices for data infrastructure

What we look for

Technical

Programming LanguagesProficiency in at least one of: C++, Python, Scala, or Java

Cloud ServicesExtensive experience with AWS services (S3, EC2, IAM, EMR, Glue, Athena, Kinesis) or comparable cloud platforms

Database SkillsAdvanced SQL knowledge and comprehensive understanding of SQL engine fundamentals

Distributed ComputingStrong understanding of distributed computing principles and architectures

Education

Computer Science DegreeBachelor's or Master's degree in Computer Science, Software Engineering, or related technical field

Experience

Data EngineeringProven experience in designing and managing complex data processing pipelines

Workflow ManagementExperience with workflow management tools like Airflow, Oozie, or Luigi

Skills

Required skills

Data Pipeline EngineeringAbility to design, implement, and optimize data processing workflows

Cloud InfrastructureExpertise in cloud-based data processing and infrastructure management

Problem-SolvingStrong analytical thinking and creative problem-solving capabilities

Nice to have

Domain ExperienceBackground in mapping, navigation, or automotive industry

Advanced Data ProcessingHands-on experience with data processing frameworks like Apache Spark

Compensation & benefits

Salary

USD 130,000 – 180,000 (annual)

Benefits

Healthcare

Comprehensive and supportive health care coverage

Parental Leave

Flexible parental leave policy supporting work-life balance

Remote Work

100% remote work arrangement with global team flexibility

Learning & Development

Continuous learning environment with opportunities for professional growth

Interview process

1
Initial Screening — HR phone screen to assess basic qualifications and cultural fit
2
Technical Assessment — Comprehensive technical evaluation of data engineering skills and problem-solving capabilities
3
Team Interview — Multiple interviews with team members to evaluate technical expertise and collaboration potential
4
Final Executive Interview — Meeting with senior leadership to discuss vision, potential impact, and alignment with company values