Listed on DriveTime’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
DriveTime is hiring a Senior Data Engineer to design and optimize scalable data pipelines, manage Snowflake and Kafka infrastructure, and mentor junior engineers. The role suits someone who enjoys solving complex data problems in a fast-growing company and wants to work with modern cloud platforms and AI-assisted development practices.
Our summary, not DriveTime’s wording. The full posting is on their site.
Skills this role names
- Apache Kafka
- Argo CD
- Azure DevOps
- Dialectical Behavior Therapy (DBT)
- Git
- GitHub
- Python
- Snowflake
- SQL
- SQL Server
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What they ask for
Required
- 4+ years of data engineering or analytics engineering experience
- Bachelor's degree in Information Technology, Computer Science, or related field (or equivalent)
- Advanced SQL expertise for transactional and analytical workloads
- Experience with SQL Server and Snowflake
- Building end-to-end data pipelines with Kafka, Confluent, CDC, or Snowflake
- Understanding of dimensional modeling, star schemas, and normalized design
- Python proficiency for automation and data processing
- Experience with dbt and ELT methodologies
- Hands-on use of Argo or similar workflow orchestration
- Git-based version control and CI/CD via GitHub or Azure DevOps
- Demonstrated use of AI/ML for automation, predictive insights, or anomaly detection
- Strong communication and stakeholder management
- Ability to mentor teammates
Nice to have
- AI-first engineering environment experience
- Agentic programming and AI-assisted development workflow experience
- Supporting both operational applications and enterprise analytics
- Experience in high-growth organizations prioritizing scalability and rapid delivery
- Vendor integration and partner-facing data solution experience