Note: The job is a remote job and is open to candidates in USA. DriveTime Family of Brands is a privately owned used car sales, financing, and servicing company that uses technology and proprietary tools to support vehicle ownership. The Senior Data Engineer will develop, model, optimize, and govern scalable data processes and models using Snowflake, SQL, Python, and Kafka, while enabling analytics, applications, and partner integrations. The role also involves performance optimization, data quality, CI/CD, stakeholder collaboration, and mentoring 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, and 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; all while 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, and partner with analysts to translate complex data requirements into stable, trusted processes and data structures – all in an AI-first, Agile framework
Skills
- 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
Benefits
- Work from home in an approved city and state
- Medical, dental, and vision insurance, with the company covering a sizable amount of insurance premiums
- 401(k)
- Company-paid life insurance policy
- Short- and long-term disability coverage
- Professional growth opportunities
- Tuition reimbursement
- Wellness program including self-guided coaching and journeys, cash incentives, and discounts on medical premiums
- For all full-time roles: paid time off including wellness days, holidays, and personal time
- For part-time roles: vacation time, with more time earned based on hours worked
Company Overview