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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer (DBT) - **Company:** DriveTime Sales and Finance Company, LLC - **Location:** Phoenix, AZ, United States (Remote available) - **Experience:** Expert - **Contract:** Temporary contract - **Skills:** Query Performance, Artificial Intelligence, Data Analysis, Microsoft Azure, Encodings, Continuous Integration, Data as a Services, Data Validation, Information Engineering, Data Governance, Data Infrastructure, Data Transformation, Data Warehousing, Dimensional Modeling, Github, Python (Programming Language), Meta-Data Management, Performance Tuning, SQL Databases, Scripting, Sql Optimization, Snowflake, Data Strategy, Git, Information Technology, Performance Monitor, Data Management, Software Version Control, Data Pipelines - **Published:** July 17, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=f756de42016efc57 ## About the Role * 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 Nice to have * Experience supporting enterprise data governance or metadata management initiatives * Prior involvement in large-scale analytics or AI-driven data platforms ## 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 ## Related Videos - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [A Brief History of Data Storage](https://www.wearedevelopers.com/videos/974-a-brief-history-of-data-storage) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [JSON and Beyond](https://www.wearedevelopers.com/videos/968-json-and-beyond) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)