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Responsibilities:
- Build and maintain scalable, high-performance systems.
- Lead data engineering projects ensuring reliability and efficiency.
- Design optimal data models for storage and retrieval.
- Improve productivity with tooling and standards.
- Collaborate with non-technical stakeholders.
- Participate in interviewing and onboarding new members.
Requirements:
- 5+ years in Data Engineering or related field.
- Expert knowledge of data structures and algorithms.
- Strong Python development experience.
- Proficient in building and managing data pipelines.
- Experience with dbt, Airbyte, and BigQuery tools.
Benefits:
- Health, vision, and dental insurance.
- Life insurance and Simple IRA matching.
- Paid time off.
