DTE Energy-posted 8 months ago
Full-time • Entry Level
Melvindale, MI
Utilities

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.

  • Builds data process pipelines (in on-premise or Cloud platforms) required for optimal extraction, transformation, and loading of data from a wide variety of data sources.
  • Performs analysis required to troubleshoot data related technical issues and assist in the resolution of data issues, including maintaining optimal data transformation processes.
  • Deploys and automates machine learning models in a data environment (e.g., structured query language (SQL) servers, cloud platforms, on-premise servers, etc.).
  • Builds data structures to accommodate business intelligence tools or machine learning models and refines these data structures based on simulated data growth.
  • Provides data engineering support to project teams involving data architects, server engineers, and data scientists to help identify relevant data, analyze data quality, design data processing pipeline, and develop prototypes.
  • Assembles large, complex structured and un-structured data sets that meet business requirements and prepares reporting/visualizations based on the data pipeline design/analysis.
  • Works to identify and automate manual processes, optimize data delivery, and re-design infrastructure for greater scalability.
  • Bachelor's degree with emphasis on coursework of a quantitative nature (e.g., Computer Science, Mathematics, Physics, Data Science, and Econometrics, etc.) and 1 year 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.).
  • Basic to intermediate-level programming skills in structured query language (e.g., SQL, Java, Python, etc.).
  • Ability to articulate business questions through pulling data from relational databases.
  • Proficient with business intelligence tools and data blending tools (e.g., Microsoft Power Platform).
  • Proficient with Big Data platforms, including data extraction and data connections for analytics.
  • Ability to adapt to software platforms for retrieving, analyzing, sharing, and visualizing data.
  • Ability to identify optimal analytical tools based on problem requirements.
  • Ability to communicate technical information and complex data analytics to a non-technical audience in a clear and concise manner (in both verbal and written form).
  • Intermediate-level proficiency in business intelligence tools and data blending tools (e.g., Power BI, etc.).
  • Business domain knowledge.
  • Database design and query optimization experience.
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