Senior Data Engineer, DBT

🔥 13 hours ago

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Logo of DriveTime

DriveTime

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

• Owning the design and development of robust dbt Core models that transform raw data into trusted, analytics‑ready datasets in Snowflake • Architecting scalable, high‑performance data models that support enterprise reporting, analytics, and AI use cases • Translating complex business and analytical requirements into efficient, well‑structured ELT solutions through close collaboration with BI, analytics, and business stakeholders • Embedding best practices in data quality, testing, documentation, and lineage to ensure transparency, reliability, and trust in our data ecosystem • Leveraging Python to support automation, data validation, orchestration, and performance monitoring across ELT pipelines • Monitoring, tuning, and optimizing Snowflake query performance and cost efficiency • Leading technical design discussions and contributing hands‑on to critical data initiatives • Serving as a technical lead and mentor, guiding other engineers and elevating standards across the full data transformation lifecycle • Providing thought leadership on modern data transformation patterns, tooling, and architecture to help shape enterprise data strategy • Supporting data governance and metadata enrichment initiatives in alignment with broader enterprise data goals

🎯 Requirements

• 5+ years of experience in data engineering or analytics engineering • Bachelor’s degree in Information Technology or a related field, or equivalent practical experience • Advanced SQL skills with deep, hands‑on experience using dbt Core for data transformation, testing, and documentation • Experience with dbt Core • Strong expertise with Snowflake or a similar modern cloud data platform • Proficiency in Python for scripting, automation, and performance tuning • Solid understanding of dimensional modeling, ELT principles, and data warehousing best practices • Experience with Git‑based version control and CI/CD workflows (e.g., GitHub, Azure DevOps, Argo) • Demonstrated ability to lead technical initiatives and mentor other engineers • Strong collaboration skills and a proven ability to influence and drive adoption of modern data engineering best practices

🏖️ Benefits

• Work From Home. Feel free to rock the casual wear while still being camera ready. • Medical, dental, and vision, oh my! DriveTime Family of Brands covers a sizable amount of insurance premiums to ensure our employees receive top-tier healthcare coverage. • 401(K), Company paid life insurance policy, short and long-term disability coverage to name a few. • Growth Opportunities. You grow, I grow, we all grow! • Tuition Reimbursement. We’re as passionate about your professional development as you are. • Wellness Program. Health is wealth! This program includes self-guided coaching and journeys, cash incentives and discounts on your medical premiums through engaging in fun activities! • Paid Time Off. Not just lip service: we work hard, to play hard ! Paid time off includes (for all full-time roles) wellness days, holidays, and good ole' fashioned YOU time!

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