DriveTime
DriveTime is a prominent automotive retail company focused on revolutionizing the car-buying journey. The company prides itself on providing a transparent pricing approach, eliminating haggling and offering an unparalleled customer service experience. DriveTime operates reconditioning centers to breathe new life into pre-owned vehicles, with comprehensive training and state-of-the-art equipment. The company's operations are streamlined for optimal productivity and customer support, with a dynamic team involved in loan servicing and corporate functions. DriveTime is committed to creating a positive impact by fostering a supportive work environment that values integrity, collaboration, and diverse backgrounds.
auto sales • auto financing • used cars • information technology • Finance
Senior Data Engineer
April 3
DriveTime
DriveTime is a prominent automotive retail company focused on revolutionizing the car-buying journey. The company prides itself on providing a transparent pricing approach, eliminating haggling and offering an unparalleled customer service experience. DriveTime operates reconditioning centers to breathe new life into pre-owned vehicles, with comprehensive training and state-of-the-art equipment. The company's operations are streamlined for optimal productivity and customer support, with a dynamic team involved in loan servicing and corporate functions. DriveTime is committed to creating a positive impact by fostering a supportive work environment that values integrity, collaboration, and diverse backgrounds.
auto sales • auto financing • used cars • information technology • Finance
📋 Description
• Serve as a technical and architectural lead for data engineering. • Design, develop, and maintain data pipelines and infrastructure. • Collaborate with diverse teams for business requirements and technical solutions. • Architect solutions for data ingestion, transformation, and storage. • Drive best practices in data engineering and ensure data quality. • Monitor and troubleshoot data pipelines for performance issues.
🎯 Requirements
• 8+ years of experience in data engineering or similar role. • Bachelor's degree in Computer Science, Engineering, or related field; Master's degree preferred. • Extensive experience in data engineering. • Proficiency in on-premises SQL Server, Kafka, Argo, SSIS, and Snowflake. • Strong programming skills in Python, SQL, Java, or Scala. • Excellent communication and collaboration skills. • Proven leadership experience in driving technical initiatives.
🏖️ Benefits
• Work From Home. • Medical, dental, and vision coverage. • 401(K) and company paid life insurance. • Growth Opportunities with employee promotions. • Tuition Reimbursement for professional development. • Wellness Program with incentives. • Competitive pay including paid time off.
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