Senior Data Engineer

DriveTime Family of Brands is the largest privately owned used car sales finance & servicing company in the nation. They are seeking a Senior Data Engineer to support the development and optimization of data processes, enabling business teams and partners with high-quality solutions. The role involves designing scalable data models and mentoring fellow engineers in an AI-first, Agile environment.

Responsibilities:

• Support the development, modeling, optimization, and governance of our data processes
• Growth of our agentic programming practices
• Transactional support for applications
• Consumption and generation of external data to and from our key partners
• Contribute to the delivery and design of scalable processes and data models using Snowflake, SQL, Python, and Kafka
• Integrating best practices in performance optimization, data quality, and CI/CD workflows via GitHub or Azure DevOps
• Mentor and collaborate closely with fellow engineers
• Interface with product leadership
• Partner with analysts to translate complex data requirements into stable, trusted processes and data structures

Requirements:

• 4+ years of experience in data engineering, analytics engineering, or a related data discipline
• Bachelor's degree in Information Technology, Computer Science, or a related field, or equivalent combination of education and experience
• Advanced SQL expertise supporting both transactional and analytical/reporting workloads
• Experience working with SQL Server and modern cloud data platforms, particularly Snowflake
• Proven experience building end-to-end data pipelines and supporting near real-time data integration using technologies such as Kafka, Confluent, CDC, and Snowflake
• Strong understanding of dimensional modeling, star schemas, normalized design, and enterprise data architecture principles
• Proficiency in Python for automation, data processing, data validation, and integrations
• Experience with dbt and modern ELT development methodologies
• Hands-on experience with Argo or similar workflow orchestration platforms
• Experience utilizing Git-based version control and CI/CD workflows through GitHub or Azure DevOps
• Demonstrated success leveraging AI and machine learning concepts for automation, predictive insights, anomaly detection, or intelligent workflow improvements
• Strong communication, collaboration, and stakeholder management skills
• Proven ability to mentor teammates and contribute to team growth and continuous improvement
• Experience working in an AI-first engineering environment
• Experience with agentic programming practices and AI-assisted software development workflows
• Background supporting both operational applications and enterprise analytics platforms
• Experience in high-growth organizations where scalability, performance, and rapid delivery are key success factors
• Exposure to vendor integrations, external data exchange frameworks, and partner-facing data solutions