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Key Focuses:
- Architect across business and engineering: Lead the design and implementation of data systems that serve both operational business stakeholders and product/engineering teams.
- Extend our internal AI platform: Contribute to and help shape the future with work that compounds across every analysis we run at Zip.
- Set the engineering bar for data: Bring software engineering rigor to data work: testing, CI/CD, code review, version control, observability and evangelize these practices across the team.
Minimum Qualifications:
- 5+ years as a Data Engineer, analytics/BI Engineer or in a similar role at a senior IC level.
- Advanced SQL and deep proficiency in data modeling, schema design, and query optimization.
- Strong grasp of data warehouse architecture and modern modeling methodologies.
Preferred Qualifications:
- Experience building or extending internal AI/LLM-powered tooling for analytics or developer workflows.
- Expertise with Spark (PySpark or Scala) and big data environments such as Delta Lake.
- Production-level proficiency with dbt and the modern data stack.
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