Senior Data Engineer: ML Pipelines & Analytics

DTE Energy; Detroit (MI); Ibrido; USD 110.000 - 160.000; Tempo pieno

Descrizione del lavoro

DTE Energy is seeking a data engineering professional to lead data integration and analytics projects across enterprise-scale environments. The role focuses on data collection, transformation, storage, delivery, and reporting, serving as a senior advisor on large data initiatives.

Responsibilities include building scalable pipelines, optimizing data processing, and deploying ML models while mentoring teammates.

Competenze

• Bachelor’s degree with quantitative coursework and 6 years in data engineering/data analytics or programming, OR
• Master’s degree with quantitative coursework and 4 years in data engineering/data analytics or programming, OR
• PhD with quantitative coursework and 2 years in data engineering/data analytics or programming

Mansioni

• Leads data engineering projects and collaborates with stakeholders to design end-to-end solutions, including data structure design for downstream analytics, ML modeling, feature engineering, prototype development, and reporting
• Develops complex data sets and automated pipelines for process improvement and operational metrics
• Designs and implements data pipelines in on-premise or cloud platforms for ETL from multiple sources
• Builds reporting and visualizations using the data pipeline to provide insights on compliance rates, operational efficiency, and key metrics
• Designs and implements testing strategies for data pipelines and processing methods
• Deploys and automates ML models in a data environment, including scheduling and data delivery tools
• Educates leaders and employees on complex data/analytic findings using storytelling and visualization
• Researches and maintains industry best practices for data engineering

Conoscenze

Data engineering

SQL

Python

Machine learning

Data visualization

Cloud platforms

Formazione

Bachelor’s degree in CS/Math/Data Science

Master’s degree in CS/Math/Data Science

PhD in a quantitative field

Strumenti

Power BI

SQL Server

Azure / Cloud platforms

Descrizione del lavoro

DTE Energy is seeking a data engineering professional to lead data integration and analytics projects across enterprise-scale environments. The role focuses on data collection, transformation, storage, delivery, and reporting, serving as a senior advisor on large data initiatives.

Responsibilities include building scalable pipelines, optimizing data processing, and deploying ML models while mentoring teammates.