Senior Data Engineer
DTE Energy
full-time
Posted on:
Location Type: Hybrid
Location: Detroit • Missouri • United States
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Job Level
About the role
- Leads data engineering projects and collaborates with stakeholders to formulate end-to-end solutions, including data structure design to feed downstream analytics, machine learning modeling, feature engineering, prototype development, and reporting
- Develops complex data sets and automated pipelines that support data requirements for process improvement and operational efficiency metrics
- Designs and implements data process pipelines in on-premise or Cloud platforms required for optimal extraction, transformation, and loading of data from multiple data sources
- Builds reporting and visualizations that utilize data pipeline to provide actionable insights into compliance rates, operational efficiency, and other key business performance metrics
- Designs and implements effective testing strategies for data pipelines and processing methods
- Deploys and automates Machine Learning Models in a data environment (e.g., SQL server, Cloud platform, on-premise servers and machines), including workflow orchestration, scheduling and advanced data processing implementation, and data delivery tools
- Educates leaders and other employees on complex data and analytical findings in basic terms and with storytelling and data visualization
- Researches and maintains industry best practices for data engineering practices and solutions
Requirements
- Bachelor's degree with emphasis on coursework of a quantitative nature (e.g., Computer Science, Mathematics, Physics, Data Science, Econometrics, etc.) and 6 years of experience working in a data engineering, data analytical or computer programming function;
- OR Master’s degree with emphasis on coursework of a quantitative nature (e.g., Computer Science, Mathematics, Physics, Data Science, Econometrics, etc.) and 4 years of experience working in a data engineering, data analytical or computer programming function;
- OR PhD degree with emphasis on coursework of a quantitative nature (e.g., Computer Science, Mathematics, Physics, Data Science, Econometrics, etc.) and 2 years of experience working in a data engineering, data analytical or computer programming function
- Advanced programming proficiency in SQL and one or more general-purpose languages (e.g., Python, Java).
- Strong business domain knowledge with the ability to translate business needs into scalable data and analytics solutions.
- Advanced experience building and supporting data pipelines for analytics, AI/ML, and GenAI use cases, including feature engineering and model‑ready datasets.
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
- Emergency response support
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data engineeringdata structure designmachine learning modelingfeature engineeringautomated pipelinesdata process pipelinesextraction transformation loading (ETL)reportingdata visualizationSQL
Soft Skills
collaborationstorytellingcommunicationeducatingtranslating business needs
Certifications
Bachelor's degreeMaster’s degreePhD