Data Engineer - Emergency Preparedness and Response

About DTE Energy

DTE Energy stands as one of the nation's largest diversified energy corporations, with a rich history of powering Michigan’s progress and homes through its electric and gas divisions for over a century. As Michigan’s top source for renewable energy, DTE is actively fostering a cleaner, healthier environment while serving beyond state lines, offering renewable energy, emission control technologies, and energy services across 19 states.

At DTE, the commitment extends beyond energy supply – it's a culture that values team care, customer dedication, inclusivity, and wellbeing. Joining the team means becoming part of a community focused on growth, diversity, and safety.

Job Summary

This individual contributor role involves leading data integration and analytic initiatives aimed at automating data collection, transformation, storage, delivery, and reporting. The incumbent will optimize data retrieval and processing to support downstream analytics, machine learning, feature engineering, and reporting across various teams to enhance enterprise-wide data capabilities.

Key Responsibilities

• Lead data engineering projects by collaborating with stakeholders to design end-to-end solutions that include data structuring for analytics, machine learning modeling, prototype development, and reporting.
• Partner with business units, data architects, cloud engineers, and data scientists to identify data sources, evaluate data quality, define data requirements, and build prototypes for POCs.
• Create datasets and automated data pipelines supporting process improvements and operational efficiency metrics.
• Design and implement data pipelines on on-premises or cloud platforms for efficient ETL processes across multiple data sources.
• Develop reporting tools and visualizations that surface insights regarding compliance, operational efficiency, and key performance indicators.
• Establish automated testing and validation processes for data pipelines and processing methods.
• Deploy and automate machine learning models within data environments, including workflow orchestration, scheduling, advanced data processing, and data delivery.

Qualifications and Experience

Candidates may qualify through one of two educational/experience tracks:

• Bachelor's degree in a quantitative field (such as Computer Science, Mathematics, Physics, Data Science, Econometrics) plus 3 years in data engineering, analytics, or programming.
• Master's degree in a quantitative field with at least 1 year experience in data engineering, analytics, or programming.

Preferred Skills and Knowledge

• Experience with cloud platforms and cloud computing concepts, particularly Azure.
• Familiarity with the utility or energy sector and understanding of DTE’s ADMS Outage Management system.
• Strong SQL database design and query optimization capabilities.
• Proficient programming skills in modern languages (Python, C#, Java, R) for data transformation and automation.
• Hands-on expertise building and maintaining data pipelines using cloud services like Azure Data Factory or Databricks.
• Knowledge of BI and visualization tools such as Power BI or Microsoft Power Platform.
• Experience integrating and ensuring data quality from diverse source systems.
• Proven ability to develop and deploy AI and machine learning models.
• Strong communication skills to translate technical analytics for non-technical stakeholders.

Additional Competencies and Requirements

• Solid experience in SQL and modern scripting languages.
• Familiarity with agile development practices and CI/CD pipelines.
• Capability to interpret business questions and extract meaningful data insights.
• Working knowledge of big data platforms such as Hive, Spark, and Azure Databricks.
• Strong analytical thinking and problem-solving skills, adept at choosing suitable analytic tools.
• Willingness to adapt and learn new software platforms for data processing and visualization.
• Flexibility to work overtime during peak periods and capacity to collaborate effectively within agile teams.

Employment and Workplace Details

This is a hybrid position requiring some in-person work at an assigned location with remote work permitted under company guidelines. The role demands availability to respond promptly to emergencies such as storms that may affect customer service.

Equal Opportunity and Legal Information

DTE Energy is dedicated to fostering an inclusive and welcoming workplace. The company is an equal opportunity employer committed to consideration of all qualified applicants regardless of race, gender, age, disability, veteran status, or other legally protected categories.