Software Development Engineer I

About the role

Join the HD Maps team, where you will contribute to the development of high-precision mapping products for various industries. This role involves working with large-scale geospatial data and deploying algorithmic stages into production cloud applications. You will help build the foundation for navigation solutions across different market segments. In this capacity, you will own the implementation of critical data transformation logic that directly impacts map accuracy. You will be responsible for writing robust code that processes complex geospatial inputs into structured outputs. The position requires active participation in the full software development lifecycle from initial design to production deployment. You will play a key role in ensuring that the data pipelines supporting HD Maps are efficient and reliable. This position is ideal for individuals who want to see their code power products used by enterprises and consumers worldwide.

Key facts

What you'll do

• Create, develop, and maintain algorithmic components for cloud applications using Python, Scala, or Java.
• Build scalable data processing solutions on AWS cloud infrastructure utilizing Spark for large dataset transformations.
• Design and implement new features for cloud-based mapping products that enhance data quality and usability.
• Collaborate with research and development teams to integrate analytical solutions into existing mapping workflows.
• Work alongside senior engineers to improve system performance, reliability, and scalability of data services.
• Participate in thorough code reviews to ensure code quality and share knowledge across the engineering team.
• Test new components rigorously and contribute to the continuous improvement of development processes and standards.
• Partner with product managers and cross-functional engineering teams to deliver solutions that satisfy customer and business requirements.
• Implement data pipeline orchestration using tools such as Airflow, Dagster, Prefect, or Luigi to automate workflows.
• Process and validate geospatial data ensuring adherence to strict quality metrics and industry standards.
• Optimize SQL queries for performance and correctness within distributed database environments.
• Document technical designs and procedures to support maintenance and future development efforts.
• Assist in debugging complex issues in production environments to minimize downtime and data inconsistencies.
• Support the deployment of mapping solutions that meet the needs of diverse industries including automotive and logistics.

Requirements

• Demonstrate proficiency in at least one programming language: Python, Scala, or Java, writing clean and maintainable code.
• Possess experience developing data processing applications or pipelines on AWS or another cloud platform with proven reliability.
• Show strong SQL skills including knowledge of query execution plans and optimization techniques for large datasets.
• Exhibit understanding of distributed computing concepts and hands-on experience with distributed data processing frameworks like Spark.
• Have familiarity with workflow orchestration tools such as Airflow, Dagster, Prefect, or Luigi to manage complex pipelines.
• Apply knowledge of software engineering best practices including version control using Git, testing, and structured code reviews.
• Maintain strong analytical abilities and problem-solving skills with meticulous attention to detail in all tasks.
• Communicate technical ideas clearly and collaborate effectively within multidisciplinary teams.
• Use good verbal and written communication skills in English on a daily basis.
• Follow Mapbox hiring guidelines and complete all required application steps as part of the recruitment process.
• Provide personal data as required for application processing in accordance with Mapbox privacy policies.
• Commit to participating in a fair and equitable hiring process that values diversity and inclusion.

Nice to have

• Experience with data visualization libraries like Matplotlib, Plotly, or D3.js to create insightful graphical representations of data.
• Exposure to the mapping, navigation, or automotive industries demonstrating understanding of relevant use cases.
• Basic understanding of machine learning techniques for geospatial or large-scale data analysis to support advanced mapping features.
• Contributions to open-source projects or personal technical projects that showcase initiative and technical depth.

Practical notes

Applicants should review the Mapbox Non-US Privacy Notice before applying to understand how personal information is handled. Providing personal data is mandatory for application processing and without it your application cannot be considered. Mapbox is committed to a fair and equitable hiring process where all candidates are evaluated based on their skills and experience. This role is based in Minsk and operates on a full-time schedule. No specific travel requirements are outlined for this position. There are no visa sponsorship details provided within this job description. Applicants must meet all listed requirements and submit their materials before the closing of applications as posted on the official Mapbox careers site.