✦ Luna Orbit — Data & Analytics

Data Engineer II

at Penske Automotive Group

📍 Beachwood, OH, United States Hybrid Posted March 13, 2026
Type Not Specified
Experience mid
Exp. Years 2+ years
Education Not specified
Category Data & Analytics

This role involves developing and maintaining data pipelines, supporting data storage and analytics, and ensuring data security across projects in a hybrid environment.

  • Develop data pipelines
  • Support data ingestion and storage
  • Implement data security measures
  • Collaborate with cross-functional teams
  • Ensure data quality and governance

Proficiency in data pipeline development, SQL, cloud platforms, and data security tools, with experience in supporting BI systems and data governance.

The ideal candidate is a mid-level data engineer with at least 2 years of experience developing data pipelines, working with SQL, and supporting data warehousing solutions. They should be familiar with cloud platforms and data security best practices.

Data pipeline developmentSQLData ingestionData storageData security
Cloud platforms (AWSAzureGCP)Apache SparkApache AirflowData governance
SQLPythonApache SparkApache AirflowCloud platforms (AWSAzureGCP)
Data pipelinesData ingestionData storageData warehouseBusiness IntelligenceSQLETLData modelingCloud platformsPythonSparkApache AirflowData securityData governance
Data pipelinesData ingestionData storageData warehouseBusiness IntelligenceSQLETLData modelingCloud platformsPythonSparkApache AirflowData securityData governance
CollaborationCommunicationProblem-solvingMentoringDocumentationTeamwork

Preferred

AWS Certified Data Analytics - SpecialtyGoogle Cloud Professional Data EngineerMicrosoft Certified: Azure Data Engineer Associate
Industry Transportation/Logistics
Job Function Data pipeline development and data support for analytics
Data Engineer IIData pipelinesData ingestionData storageData warehouseBusiness IntelligenceSQLETLData modelingCloud platformsPythonSparkApache AirflowData securityData governanceApache Spark

Less than 2 years of data engineering experience, Lack of experience with SQL or data pipelines, No familiarity with cloud platforms

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