Senior Data Engineer role in Tempe, AZ (onsite) with DriveTime, offering USD 145,000 per year.

Lead design and development of robust dbt Core models to convert raw data into trusted, analytics-ready datasets in Snowflake
Architect scalable, high-performance data models to support enterprise reporting, analytics, and AI initiatives
Translate complex business and analytical requirements into efficient ELT solutions through close collaboration with BI, analytics, and business stakeholders
Incorporate data quality, testing, documentation, and lineage best practices to ensure transparent, reliable data across the ecosystem
Use Python to automate, validate data, orchestrate workflows, and monitor ELT pipeline performance
Monitor, tune, and optimize Snowflake queries for performance and cost efficiency
Lead technical design discussions and contribute technically to key data initiatives
Act as a technical lead and mentor, guiding engineers and raising standards across the data transformation lifecycle
Provide thought leadership on modern data transformation patterns, tooling, and architecture to shape enterprise data strategy
Support data governance and metadata enrichment initiatives aligned with enterprise data goals

5+ years of experience in data engineering or analytics engineering
Bachelor's degree in Information Technology or related field, or equivalent practical experience
Advanced SQL skills with 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 such as GitHub, Azure DevOps, or Argo
Proven ability to lead technical initiatives and mentor engineers
Strong collaboration skills with a track record of influencing and driving adoption of modern data engineering best practices

Collaborative leaders who partner across engineering, analytics, and business teams
Clear communicators who translate complex technical concepts for technical and non-technical audiences
Mentors who foster growth and a culture of continuous learning
Strategic thinkers balancing long-term architecture with near-term business needs
Problem solvers who own initiatives, drive innovation, and propagate best practices across the organization

Experience supporting enterprise data governance or metadata management initiatives
Prior involvement in large-scale analytics or AI-driven data platforms

Senior Data Engineer

Job Description