Bridge33

Bridge33

Bridge33 is a commercial real estate investment firm that focuses on identifying and capitalizing on unique investment opportunities while emphasizing disciplined acquisition and property management to create value for its investors.

Real Estate
11-50
Founded 2012

Description

  • Design, build, and maintain dbt data models as trusted sources of truth.
  • Write optimized, well-tested SQL for core data transformations.
  • Develop deep knowledge of property management, accounting, and operational data sources.
  • Build dashboards and reports for business stakeholders.
  • Partner with stakeholders to translate vague questions into concrete, data-backed answers.
  • Write and run Python scripts to automate workflows, move data, and reduce manual work.
  • Use Git, GitHub, code review, CI/CD, documentation, and data quality testing in day-to-day development.
  • Monitor data quality proactively and resolve issues before they affect the business.

Requirements

  • Deep expertise in SQL, including complex transformations, window functions, performance tuning, and data modeling.
  • Comfort with Python for scripting and automation, including writing, running, and debugging tools.
  • Fluency with Git, GitHub, CI/CD, and modern development workflows such as branches, pull requests, and code review.
  • Experience building dashboards and reports in Power BI, Tableau, Looker, or similar tools.
  • Strong written and spoken English; comfortable working asynchronously with a US-based team.
  • Experience with dbt and the modern data stack, such as Databricks, Snowflake, Fivetran, Airflow, or Dagster (preferred).
  • Experience in finance or real estate, with comfort around financial statements, terms, and metrics (preferred).
  • Hands-on experience with Yardi data or other real estate platform data (bonus).
  • Fully remote work arrangement.
  • Availability to work 8:00 AM to 5:00 PM US Pacific Time (PST).

Interested in this position?

Apply directly on the company website

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