Associate Data Engineer - Biomass

DTE is one of the nation’s largest diversified energy companies. Our electric and gas companies have fueled our customer’s homes and Michigan’s progress for more than a century. And as Michigan’s largest source of renewable energy, we’re creating a cleaner, healthier environment to power our future. We’re also serving communities beyond Michigan, where our affiliated businesses offer renewable energy, emission control technologies, and energy services to industries in 19 states.  But we’re more than a leading energy company... and working at DTE is more than just a job. At DTE, we take great care of each other and our customers, and we use our energy to be a force for growth and prosperity in our communities.  When you join us, you’ll be part of a team that welcomes, recognizes, and celebrates differences, and values everyone’s health, safety, and wellbeing.  Are you ready to make that kind of difference? Bring your energy to DTE. Together, we can achieve great things.

Job Summary

Location: Detroit, MI

The Associate Data Engineer supports DTE Biomass’s data integration and analytics initiatives, contributing to the development and maintenance of data pipelines, automation systems, and reporting tools. This entry-level role is critical to ensuring accurate, compliant, and efficient handling of production data, particularly in support of EPA and CARB regulatory requirements. The Associate Data Engineer will be responsible for delivering scalable data solutions and automation workflows, while actively developing core competencies in cloud platforms, data engineering practices, and compliance standards under the guidance of senior engineers and analysts.

Key Accountabilities

• 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.
• Collaborate with software engineers, analysts, and business stakeholders to understand data requirements and deliver scalable solutions that meet operational needs.
• 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.  Maintain developed processes for continued reliability of deliverables.
• Analyze and scrub large volumes of production data to ensure compliance with EPA and CARB regulatory requirements.
• 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.
• Assist in the development of automated compliance reporting systems that integrate with existing production data sources and regulatory frameworks.

Minimum Education & Experience Requirements

• Bachelor’s degree in Computer Science or closely related discipline required at time of hire.
• Internship or project experience in software development, data processing, or analytics.
• 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.

Other Qualifications

Preferred: 

• 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.

Physical Demands & Working Conditions

The physical demands characterized here epitomize those that must be met by an employee to properly perform the integral functions of this job. Reasonable accommodations may be made to enable individuals with d