Job Overview

The data applications software engineer will be pivotal in designing, developing, and maintaining data analysis and integration solutions to draw insights from vehicle data. This role demands a strong background in software engineering, data science, and a passion for sustainable technology. The ideal candidate will work closely with cross-functional teams to develop applications which support engineering analysis, vehicle reliability and service operations, and support our mission to deliver the best experience for customers.

What You’ll Do:

• Database Infrastructure Development: Design and implement ETL processes and data storage to integrate data from different sources and combine to facilitate data analysis, metric development and visualization.
• Application Development: Collaborate with cross-functional engineers to create data applications including data-based correlation of simulation models, verification of control algorithm performance, vehicle performance and reliability analysis, event-tracking and other value-added applications for the development and continuous improvement of our technology.
• Performance Optimization: Monitor and optimize the performance of data applications. Identify and resolve performance bottlenecks.
• Documentation & Testing: Create and maintain detailed documentation of data applications, ensuring clarity and accessibility. Develop and execute comprehensive testing plans to guarantee the reliability and accuracy of integrated data.
• Troubleshooting & Support: Provide ongoing support and troubleshooting for data applications Work with stakeholders to resolve data-related problems promptly and effectively.

Who You Are:

• Bachelor’s degree in Computer Science, Information Technology, or a related field. Master’s degree preferred.
• Minimum of 3-5 years of experience in software engineering with a focus on data science and information systems.
• Strong fluency in Python and data analysis packages such as pandas, numpy, SciPy, and similar
• Experience with data analysis computational frameworks such as Apache Spark, Hadoop
• Experience with ETL processes and data warehousing solutions.
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data integration services.
• Experience with containerization: docker, kubernetes, 
• Understanding of IoT data processing data analysis challenges.
• Familiarity with machine learning packages such as PyTorch and TensorFlow a plus
• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork skills.
• Ability to work independently and manage multiple tasks in a fast-paced environment.