✦ Luna Orbit — Data & Analytics

Mgr, Data Engineering

at W.W. Grainger

📍 LAKE FOREST, IL, US, 60045-5202 Hybrid 💰 $134K – $223K USD / year Posted March 25, 2026
Salary $134K – $223K USD / year
Type Full-Time
Experience mid
Exp. Years 3+ years
Education Not specified
Category Data & Analytics

Design and develop data pipelines, manage data warehousing solutions, and support analytics initiatives within a retail/distribution environment. Lead data engineering projects and collaborate across teams.

  • Build data pipelines
  • Manage data warehouses
  • Collaborate on data projects
  • Lead data engineering efforts
  • Support analytics initiatives

Hands-on experience with data pipelines, ETL processes, SQL, Python, cloud platforms, and data warehousing. Focus on scalable data solutions and analytics support.

The ideal candidate is a mid-level data engineer with 3+ years experience in data pipelines, management, and warehousing. They are proficient in SQL and Python, with leadership skills to guide data projects in a retail/distribution environment.

Data engineering experienceExperience with data management and pipelinesKnowledge of SQL and PythonExperience with ETL processesData warehousing skills
Experience with cloud platformsKnowledge of analytics toolsLeadership in data teams
SQLPythonAWSAzureGCPData Warehouse Platforms
Data engineeringData managementSQLPythonETLData warehousingBig dataCloud platformsData pipelineAnalytics
Data EngineeringData ManagementSQLPythonETLData WarehousingBig DataCloud PlatformsData PipelineAnalytics
LeadershipTeam CollaborationProblem-solvingCommunicationProject Management
Industry Retail / Distribution
Job Function Data engineering and management
Role Subtype Data Engineer
Tech Domains SQL, Python, Amazon Web Services, Microsoft 365, Azure, Google Cloud Platform
Clearance Required None
Visa Sponsorship No
data engineeringdata managementSQLPythonETLdata warehousingbig datacloud platformsdata pipelineanalyticsleadershipteam collaborationproject managementdata toolsdata solutions

Less than 3 years experience, No experience with ETL or data pipelines, Lack of SQL or Python skills

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