Role Overview
As an Analytics Engineer on the Finance Team, you will build and maintain data models, transformation pipelines, and reporting which will be leveraged by the Finance team.
What You Will Do
You will enable the Finance team by providing documented, auditable, trusted tables that analysts and AI-assisted workflows can use without engineering support.
Why It Might Be a Fit
We are looking to expand our team with talented, driven, and collaborative individuals who seek to have a lasting impact.
Requirements
- 5+ years of data engineering, including at least one data warehouse built from scratch, ideally in finance at a pre-IPO company
- Experience supporting finance, accounting, or revenue operations teams
- Strong SQL, hands-on data modeling, and dbt experience, with familiarity with medallion architecture
- Hands-on experience with BigQuery or comparable cloud data warehouse, including IAM, security controls, and policy tags
- Experience de-identifying or restricting access to sensitive data (PHI, PII, financial data) and working knowledge of HIPAA de-identification methods
- Experience building tested, documented dbt models that enable analyst self-sufficiency
Benefits
- Choice of medical, dental, and vision insurance plans
- Additional insurance coverage options for life, accident, or critical illness
- Flexible paid time off, sick leave, short-term and long-term disability
- 10 US observed holidays, and Canadian statutory holidays by province
- A home office stipend
- 401(k) for US-based employees and RRSP for Canada-based employees
- Paid parental leave
- A local in-person meet-up program
- Hubs in San Francisco and Toronto
To apply for this job please visit linkedin.com.
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