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Data Engineer
DriveTimeData Engineer supporting the development, modeling, and optimization of data processes for DriveTime. Collaborating closely with teams to deliver scalable solutions using SQL, Python, and Snowflake.
Tech Stack
Tools & technologiesAzureCloudKafkaPythonSQL
About the role
Key responsibilities & impact- Support the development, modeling, optimization, and governance of data processes
- Design and maintain data structures that power application and operational workflows reliably and at scale
- Build and operate pipelines that move data between internal systems and key vendor integrations
- Develop consumer-ready datasets in Snowflake using best practices
- Monitor and tune Snowflake performance and pipeline reliability
Requirements
What you’ll need- 4+ years of experience in data engineering, analytics engineering, or a related data discipline
- Bachelor’s degree in Information Technology, Computer Science, or related field — or equivalent work experience
- Advanced SQL skills spanning transactional query patterns and analytical/reporting workloads across both relational and cloud data platforms
- Experience with relational database systems (SQL Server) and modern cloud data platforms (Snowflake)
- Familiarity with streaming and event-driven data pipelines (Kafka, CDC, or similar)
- Strong collaboration and communication skills, with the ability to work across technical and non-technical teams
- Solid understanding of data modeling across paradigms
- Proficiency in Python for scripting, pipeline automation, data validation, and integration work
- Experience with Git-based version control and CI/CD workflows (GitHub or Azure DevOps)
- Openness to identify opportunities to leverage AI/ML for automation and predictive insights
Benefits
Comp & perks- Hybrid work approach with a minimum of three days on-site
- Medical, dental, and vision insurance
- 401(K) matching
- Company paid life insurance policy
- Short and long-term disability coverage
- Tuition reimbursement
- Wellness program with self-guided coaching and cash incentives
- Competitive pay
- In-house gym
- Paid time off including wellness days and holidays
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data engineeringanalytics engineeringSQLSnowflakePythondata modelingstreaming data pipelinesevent-driven data pipelinesGitCI/CD
Soft Skills
collaborationcommunication