Senior Data Engineer
Role details
Job location
Tech stack
Job description
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
So What Kind of Folks Are We Looking For?
- 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
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
- 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
Nice to have
- Experience supporting enterprise data governance or metadata management initiatives
- Prior involvement in large-scale analytics or AI-driven data platforms
Benefits & conditions
Tuition reimbursement, 401(k), Health insurance, Paid time off, Vision insurance, Life insurance, Disability insurance, Wellness program, So What About the Perks? Perks matter
- Work From Home. Feel free to rock the casual wear while still being camera ready. You will be working from your home office (in an approved city & state) and make sure you have a conducive and quiet workspace with no distractions and reliable and secure internet.
- 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.
- But Wait, There's More. 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! But seriously, DriveTime Family of Brands is committed to providing its employees with every opportunity to grow professionally with roughly over 1,000 employees promoted year over year.
- Tuition Reimbursement. We're as passionate about your professional development as you are. With that, we'll put our money where our mouth is.
- 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!
- Gratitude is Green. We offer competitive pay across the organization, because, well… money matters!
- 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! For our Part-timers, don't fear you get some time too...vacation time is available - the more you work, the more you earn!