Finland Remote (Country)

Mapbox is hiring a Software Development Engineer II (Data Engineer), HD Maps

About the Role

Contribute to the creation and maintenance of high-definition maps by designing and implementing data pipelines, ensuring data quality, and collaborating with cross-functional teams to deliver innovative mapping solutions.

Responsibilities

  • Design and implement data pipelines for HD maps.
  • Ensure data quality and integrity through rigorous testing and validation.
  • Collaborate with cross-functional teams to deliver innovative mapping solutions.
  • Optimize data storage and retrieval processes for efficiency.
  • Develop and maintain data processing systems.
  • Implement data security and privacy measures.
  • Monitor and troubleshoot data pipeline issues.
  • Contribute to the development of data-driven products.
  • Stay updated with the latest data engineering trends and technologies.
  • Provide technical guidance and mentorship to junior team members.
  • Participate in code reviews and pair programming sessions.
  • Document data engineering processes and best practices.
  • Work with large-scale datasets and distributed systems.
  • Implement data integration solutions for various data sources.
  • Develop and maintain ETL (Extract, Transform, Load) processes.
  • Ensure compliance with data governance policies and regulations.
  • Collaborate with data scientists and analysts to support data-driven decision-making.
  • Optimize data processing workflows for performance and scalability.
  • Implement data validation and error-handling mechanisms.
  • Contribute to the development of data visualization tools and dashboards.
  • Participate in the design and implementation of data warehousing solutions.
  • Support the development of machine learning models and algorithms.
  • Ensure data consistency and accuracy across different systems and platforms.
  • Collaborate with product managers to define data requirements and priorities.
  • Implement data migration strategies for seamless data transitions.

Nice to Have

  • Master's degree in a relevant field.
  • Experience with high-definition mapping technologies.
  • Proficiency in geospatial data analysis and visualization.
  • Experience with real-time data processing and streaming.
  • Knowledge of geospatial databases and GIS systems.
  • Experience with data-driven decision-making processes.
  • Familiarity with data lake architectures and solutions.
  • Experience with containerization technologies like Docker and Kubernetes.
  • Knowledge of data pipeline orchestration tools like Apache Airflow.
  • Experience with data governance and metadata management.
  • Proficiency in data modeling and schema design.
  • Experience with data integration and ETL tools.
  • Knowledge of data security and privacy regulations.
  • Experience with data-driven product development and innovation.
  • Familiarity with data warehousing and data mart solutions.
  • Experience with data validation and quality assurance processes.
  • Knowledge of data processing frameworks and tools.
  • Experience with data-driven analytics and reporting.
  • Familiarity with data-driven decision-making frameworks.
  • Experience with data-driven product development and innovation.

Compensation

Competitive salary and benefits package.

Work Arrangement

On-site with flexible hours.

Team

Collaborative and innovative team focused on delivering high-quality mapping solutions.

About the Team

  • The team is dedicated to creating and maintaining high-definition maps.
  • We work closely with cross-functional teams to deliver innovative mapping solutions.
  • Our focus is on data quality, integrity, and performance.
  • We value collaboration, innovation, and continuous learning.
  • The team is passionate about leveraging data to drive meaningful insights and solutions.
  • We strive to stay updated with the latest data engineering trends and technologies.
  • Our goal is to provide high-quality mapping solutions that meet the needs of our users.
  • We foster a culture of inclusivity, diversity, and respect.
  • The team is committed to delivering exceptional value to our users and stakeholders.
  • We encourage creativity, experimentation, and continuous improvement.

Our Values

  • Innovation: We strive to push the boundaries of what's possible with data and mapping technologies.
  • Collaboration: We work together to achieve our goals and deliver exceptional results.
  • Integrity: We uphold the highest standards of data quality, security, and privacy.
  • Continuous Learning: We are committed to staying updated with the latest trends and technologies in data engineering.
  • Customer Focus: We prioritize the needs and satisfaction of our users and stakeholders.
  • Inclusivity: We foster a diverse and inclusive work environment where everyone feels valued and respected.
  • Excellence: We strive for excellence in everything we do, from data engineering to customer service.
  • Sustainability: We are committed to sustainable practices and responsible use of resources.
  • Innovation: We encourage creativity, experimentation, and continuous improvement.
  • Responsibility: We take responsibility for our actions and their impact on our users, stakeholders, and the environment.

Benefits

  • Health, dental, and vision insurance.
  • 401(k) retirement savings plan with company match.
  • Generous paid time off and holidays.
  • Flexible work arrangements and remote work options.
  • Professional development and training opportunities.
  • Employee assistance programs and wellness initiatives.
  • Tuition reimbursement and educational assistance.
  • Employee referral bonuses and recognition programs.
  • Stock options and equity compensation.
  • Health savings account (HSA) and flexible spending account (FSA) options.

Visa sponsorship available for eligible candidates.

About company
Mapbox
Mapbox is the leading real-time location platform for a new generation of location-aware businesses, providing tools to power navigation for people, packages, and vehicles.
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Job Details
Department Data Services Engineering & Product
Category data
Posted a month ago