Senior Data Engineer

DriveTime Family of Brands is the largest privately owned used car sales finance & servicing company in the nation. We are seeking a Senior Data Engineer to support the development, modeling, optimization, and governance of our data processes: growth of our agentic programming practices, transactional support for applications, and consumption and generation of external data to and from our key partners. This role is pivotal in enabling business teams, analytics, and our vendor partners with performant, high-quality, bleeding-edge solutions to all the challenges that a rapidly growing company faces. As a member of SilverRock Data, you will contribute to the delivery and design of scalable processes and data models using Snowflake, SQL, Python, and Kafka; all while integrating best practices in performance optimization, data quality, and CI/CD workflows via GitHub or Azure DevOps. You will mentor and collaborate closely with fellow engineers, interface with product leadership, and partner with analysts to translate complex data requirements into stable, trusted processes and data structures – all in an AI-first, Agile framework.

Responsibilities

Support the development, modeling, optimization, and governance of data processes; Support growth of agentic programming practices; Provide transactional support for applications; Support consumption and generation of external data to and from key partners; Enable business teams, analytics, and vendor partners with performant, high-quality solutions; Contribute to the delivery and design of scalable processes and data models using Snowflake, SQL, Python, and Kafka; Integrate 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

No 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; 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.

Nice to have

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

Benefits

Work From Home; Medical, dental, and vision insurance; 401(K); Company paid life insurance policy; Short and long-term disability coverage; Growth Opportunities; Tuition Reimbursement; Wellness Program; Competitive pay; Paid Time Off