DTE Biomass's data integration and analytics initiatives require development and maintenance of data pipelines, automation systems, and reporting tools to ensure accurate, compliant, and efficient handling of production data, particularly for EPA and CARB regulatory requirements.
Requirements
- Exposure to programming languages such as Python, Java, or C++.
- Experience with cloud platforms (e.g., AWS, Firebase) and containerization tools (e.g., Docker).
- Understanding of basic machine learning concepts and data visualization techniques.
- Experience with full-stack development frameworks (e.g., Flask, React, SwiftUI).
- Exposure to Agile development methodologies and version control systems (e.g., GitHub, Bitbucket).
- Familiarity with mobile app development and real-time data interfaces.
Responsibilities
- Assist in the development and maintenance of data pipelines for extracting, transforming, and loading data from various sources into structured/standard formats.
- Support deployment of machine learning models and real-time data processing systems in cloud and on-premise environments.
- Participate in the design and implementation of backend systems for data processing using containerization tools such as Docker.
- Build basic reporting and visualizations using available data tools to support business performance tracking.
- Contribute to the testing and validation of data workflows to ensure accuracy, reliability, and performance.
- Document technical processes and participate in Agile development cycles using tools such as Jira, Git, and Bitbucket.
- Implement automated substitution logic for missing or invalid data based on predefined rules and ensure all changes are logged and traceable through technology-driven audit trails.
Other
- Internship or project experience in software development, data processing, or analytics.
- Bachelor’s degree in Computer Science or closely related discipline required at time of hire.
- Collaborate with software engineers, analysts, and business stakeholders to understand data requirements and deliver scalable solutions that meet operational needs.
- Analyze and scrub large volumes of production data to ensure compliance with EPA and CARB regulatory requirements.
- Assist in the development of automated compliance reporting systems that integrate with existing production data sources and regulatory frameworks.
