Analytics Engineer II

About This RoleAI processing…

Key Responsibilities

• 1
  Build and maintain dbt models and core datasets that support Accounting reporting and downstream automation use cases.
• 2
  Improve platform reliability through strong testing patterns, alerting, and runbooks.
• 3
  Own and document data pipelines and lineage, ensuring changes are understandable and auditable.
• 4
  Identify, troubleshoot, and resolve production data issues, and drive root-cause fixes.
• 5
  Optimize performance and cost in Snowflake and dbt to support scaling needs.
• 6
  Partner with engineering and business stakeholders to translate requirements into durable, well-tested data assets.
• 7
  Contribute to the team’s best practices in version control, code review, documentation, and release hygiene (GitHub-based workflows).

Requirements

• Finance/accounting data familiarity (e.g., close concepts, reconciliations, ledger-style modeling).
• Experience with integration/automation platforms (Workato, Fivetran, or similar).
• Experience supporting reporting layers and BI tooling.
• Working knowledge of Python for data manipulation and automation.
• Familiarity with CI pipelines and quality gates for code quality, testing, and build validation.
• Interest in applying AI-assisted development responsibly within engineering guardrails.

Perks & Benefits