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EV.Careers is Hiring a Software Engineer, Data Applications Near Garden, CA
Job OverviewThe 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.