✦ Luna Orbit — Data & Analytics

Senior Manager - Data Engineering Effectiveness and Platform

at W.W. Grainger

📍 LAKE FOREST, IL, US, 60045-5203 Hybrid 💰 $132K – $220K USD / year Posted March 24, 2026
Salary $132K – $220K USD / year
Type Full-Time
Experience senior
Exp. Years Not specified
Education Not specified
Category Data & Analytics

This role involves leading data engineering initiatives, developing data pipelines, and managing data platforms across cloud environments to support enterprise analytics.

  • Design and develop data pipelines
  • Manage data platforms and cloud environments
  • Optimize data workflows
  • Lead data engineering projects
  • Collaborate with data science teams

The technical environment includes cloud platforms like AWS and Azure, big data tools such as Spark and Hadoop, and data pipeline frameworks.

The ideal candidate is a senior data engineer with extensive experience in data platforms, cloud environments, and big data technologies. They should possess strong leadership skills and the ability to develop scalable data solutions.

Data EngineeringData PlatformsCloud PlatformsSQLPython
Apache SparkHadoopETLData ModelingBig DataAWSAzure
AWSAmazon Web ServicesAzureData PipelinesApache SparkHadoop
Data EngineeringData PlatformsCloud PlatformsSQLPythonETLData ModelingBig DataApache SparkHadoopAWSAmazon Web ServicesAzureData Pipelines
Data EngineeringData PlatformsCloud PlatformsSQLPythonETLData ModelingBig DataApache SparkHadoopAWSAmazon Web ServicesAzureData Pipelines
LeadershipCommunicationProblem-solvingCollaborationStrategic Thinking
Industry Manufacturing
Job Function Lead data engineering efforts to build scalable data solutions
Role Subtype Data Engineer
Tech Domains Amazon Web Services, Microsoft 365, Azure, SQL / PostgreSQL, Big Data
Clearance Required None
Visa Sponsorship No
Data EngineerData PlatformsCloud PlatformsSQLPythonETLData ModelingBig DataApache SparkHadoopAWSAmazon Web ServicesAzureData PipelinesData Engineeringdata engineercloud platformssqlpythonetlbig dataapache sparkhadoopawsazure

Lack of experience with cloud data platforms, No proficiency in SQL or Python, No experience with big data tools like Spark or Hadoop

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