Posted:
7/14/2026, 1:21:50 PM
Location(s):
Tempe, Arizona, United States ⋅ Arizona, United States
Experience Level(s):
Senior
Field(s):
Data & Analytics
Workplace Type:
Remote
Pay:
$130k–$151k/yr
What’s Under the Hood
DriveTime Family of Brands is the largest privately owned used car sales finance & servicing company in the nation. Headquartered in Tempe, Arizona and Dallas, Texas, we create opportunities and improve the lives of our customers and our employees by placing a focus on putting the right customer, in the right vehicle, on the right terms and on their path to ownership.
The DriveTime Family of Brands spans across DriveTime, Bridgecrest and SilverRock. You can find us at the intersection of technology and innovation as we use our proprietary tools and over two decades of industry knowledge to redefine the process of purchasing, financing, and protecting your vehicle.
That’s Nice, But What’s the Job?
This is not a position for which sponsorship will be provided. Individuals with temporary visas or who need sponsorship now or in the future are not eligible for hire at this time.
In short, this role sits within our centralized Data Services organization and is responsible for designing, building, and delivering scalable, trusted data models that power analytics, reporting, and AI initiatives across the enterprise. You’ll combine deep technical expertise in dbt Core, Snowflake, SQL, and Python with strong leadership skills, acting as both a hands-on contributor and a mentor who raises the bar for modern data transformation practices. This is a highly collaborative role, working closely with engineers, analysts, business partners, and leadership to turn complex data requirements into reliable, high‑impact data assets.
In long, you will be responsible for
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
Collaborative leaders who enjoy partnering across engineering, analytics, and business teams
Clear communicators who can explain complex technical concepts to both technical and non‑technical audiences
Mentors who are passionate about developing others and fostering a culture of continuous learning
Strategic thinkers who balance long‑term architecture with near‑term business needs
Problem solvers who take ownership, drive innovation, and influence best practices across the organization
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
Experience supporting enterprise data governance or metadata management initiatives
Prior involvement in large‑scale analytics or AI‑driven data platforms
So What About the Perks? Perks matter
Anything Else? Absolutely.
DriveTime Family of Brands is Great Place to Work Certified! And get this: 90% of our rockstar employees say they feel right at home here. We could spend a lot of time having you read about ALL our awards, but we’ll save time (and practice some humility) just naming a few others; Comparably Awards: Best Company for Diversity, Best Company Culture and Best Company Leadership, oh and don’t forget Phoenix Business Journal Healthiest Employers (okay, we’ll stop there)!
Hiring is contingent upon successful completion of our background and drug screening process. DriveTime is a drug-free, tobacco-free workplace and an Equal Opportunity Employer.
And when it comes to hiring, we don't just look for the right person for the job, we seek out the right person for DriveTime. Buckle up for plenty of opportunities to grow in a professional, fun, and high-energy environment!
Website: https://www.drivetime.com/
Headquarter Location: Tempe, Arizona, United States
Employee Count: 5001-10000
Year Founded: 2002
IPO Status: Private
Industries: Automotive ⋅ Financial Services ⋅ Sales Automation
Visa Sponsorship: Sponsors work visas