Senior Data Engineer

🕒 April 23

🌵 Arizona – Remote

🌵 Arizona – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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DriveTime

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2002

🛒 Retail

🚗 Transport

💸 Finance

Retail • Transport • Finance

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.

📋 Description

• Lead the design and development of robust dbt Core models to transform raw data into trusted, analytics-ready datasets in Snowflake • Architect scalable and performant data models that align with business needs and support enterprise reporting, analytics, and AI initiatives • Collaborate across BI, analytics, and business teams to gather requirements and translate them into efficient ELT solutions • Implement data quality frameworks, documentation standards, and lineage tracking to ensure transparency and trust in our data ecosystem • Use Python to support automation, data validation, and performance monitoring across ELT pipelines • Monitor and optimize Snowflake query performance and cost efficiency • Guide and mentor other engineers, promoting skill development in dbt, CI/CD, and modern data architecture • Provide thought leadership on modern data transformation practices, helping to shape strategy, tooling, and best practices for the enterprise • Support data governance and metadata enrichment initiatives in alignment with enterprise data strategy

🎯 Requirements

• 5+ years of experience in data engineering, analytics engineering • Bachelor's degree in Information Technology or related field or equivalent work experience • Advanced SQL skills and deep experience with dbt Core for data transformation and documentation • Expertise in Snowflake or similar modern cloud data platforms • Proficiency in Python for scripting, automation, and performance tuning • Strong understanding of dimensional modeling, ELT principles, and data warehousing best practices • Experience with Git-based version control and CI/CD workflows (GitHub, Azure DevOps, Argo) • Proven ability to lead technical projects and mentor other engineers • Excellent collaboration and communication skills, with the ability to work across technical and non-technical teams • Demonstrated ability to drive innovation and influence best practices in data engineering through thought leadership.

🏖️ Benefits

• Work From Home • Medical, dental, and vision coverage • 401(K) • Company paid life insurance policy • Short and long-term disability coverage • Growth Opportunities • Tuition Reimbursement • Wellness Program • Paid Time Off