✦ Luna Orbit — Data & Analytics

Data Engineer

at DTE Energy

📍 Detroit, MI, US Hybrid Posted March 27, 2026
Type Full-Time
Experience mid
Exp. Years Not specified
Education Not specified
Category Data & Analytics

This role involves designing and implementing data pipelines, performing data analytics, and supporting machine learning projects within the energy sector.

  • Facilitate data projects
  • Design data structures
  • Develop data pipelines
  • Analyze data quality
  • Create reports and visualizations

The technical environment includes data integration, cloud platforms, data pipelines, and visualization tools, with a focus on performance optimization and prototyping.

The ideal candidate is a mid-level data engineer with experience in data integration, pipelines, and analytics, proficient in cloud platforms and machine learning techniques, and capable of collaborating with cross-functional teams.

Data integration projectsData structure designData quality analysisPrototypingData pipeline developmentReporting and visualization
Machine learning modelingCloud platformsPerformance tuning
Cloud platformsVisualization tools
data integrationdata analyticsdata collectiondata transformationdata storagedata reportingmachine learningfeature engineeringdata pipelinescloud platformsvisualization toolsperformance tuningprototyping
Data integrationData analyticsData collectionData transformationData storageData reportingPerformance tuningMachine learningFeature engineeringData pipelinesCloud platformsPrototypingVisualization tools
CollaborationProblem-solvingCommunicationStakeholder engagementAnalytical thinking
Industry Energy
Job Function Develop and manage data pipelines and analytics solutions to support enterprise data needs.
Role Subtype Data & Analytics
Tech Domains Python, SQL / PostgreSQL, Cloud platforms, Data pipelines, Machine learning
Clearance Required None
Visa Sponsorship No
data engineerdata integrationdata analyticsdata collectiondata transformationdata storagedata reportingmachine learningfeature engineeringdata pipelinescloud platformsvisualization toolsperformance tuningprototypingstakeholder collaborationvisualizationstakeholder engagement

Lack of experience in data pipelines, No knowledge of cloud platforms, Inability to work in hybrid environment, Unauthorized to work in the US

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