Analytics Engineer

POSITION SUMMARY: Bridge33 is looking for an Analytics Engineer to help build and maintain the datasets that power decision-making across the business. You'll work at the center of our data platform modeling raw data from our property management and financial systems into clean, tested, well-documented sources of truth, and delivering reporting that business stakeholders use. This is a hands-on role on a small, fast-moving team. You'll have real problems end-of-end: from understanding a messy source system, to modeling it in dbt, to shipping dashboards and AI connectors and explaining the numbers to the people who depend on them. ESSENTIAL DUTIES AND RESPONSIBILITIES: - Design, build, and maintain data models in dbt that serve as trusted sources of truth for the business. - Write clearly, optimized, well-tested SQL, this is the core of the job. - Develop a deep understanding of our data sources (property management, accounting, and operational systems) and become a go-to expert on their nuances. Analytics Engineer (Offshore / Remote) 1 - Build dashboards and reports for business stakeholders and partners with them to turn vague questions into concrete, data-backed answers. - Write and run Python scripts to automate workflows, move data, and eliminate manual processes - Follow modern development practices: version control with Git/GitHub, code review, CI/CD, documentation, and data quality testing. - Proactively monitor and improve data quality catch issues before the business does. Requirements QUALIFICATIONS: Must have - Deep expertise in SQL: complex transformations, window functions, performance tuning, and a strong instinct for data modeling. - Comfort with Python for scripting and automation writing, running, and debugging your own tools. - Fluency with Git, GitHub, CI/CD, and modern development workflows (branches, pull requests, code review). - Experience building dashboards and reports for business stakeholders (Power BI, Tableau, Looker, or similar) and communicating insights clearly. - Strong written and spoken English; comfortable working async with a US-based team. Strongly preferred - Experience with dbt and the modern data stack (Databricks, Snowflake, or similar cloud warehouse; Fivetran; orchestration tools like Airflow or Dagster). - Experience in finance or real estate is comfortable with financial statements, terms, and metrics. Bonus points - Hands-on experience with Yardi data or other real estate platform data (major brownie points for this one). WORKING REQUIREMENTS: - Fully remote - Fluent in English - Will work 8:00 AM to 5:00 PM US Pacific Time (PST)

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