Analytics Engineer II

Responsibilities

• Build and maintain dbt models and core datasets that support Accounting reporting and downstream automation use cases.
• Improve platform reliability through strong testing patterns, alerting, and runbooks.
• Own and document data pipelines and lineage, ensuring changes are understandable and auditable.
• Identify, troubleshoot, and resolve production data issues, and drive root-cause fixes.
• Optimize performance and cost in Snowflake and dbt to support scaling needs.
• Partner with engineering and business stakeholders to translate requirements into durable, well-tested data assets.
• Contribute to the team’s best practices in version control, code review, documentation, and release hygiene (GitHub-based workflows).
• What We Look For
• 3+ years of experience in analytics engineering, data engineering, or similar roles working with production data systems.
• Strong SQL skills and hands-on experience building in dbt (modeling, testing, documentation).

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