AI Summary
Bridge33 Capital seeks an Analytics Engineer to design, build, and maintain trusted data models in dbt that power business decision-making. The role involves end-to-end data pipeline development from raw property management and financial systems to clean, tested datasets and reporting dashboards. Candidates must have deep SQL expertise, Python automation skills, and strong English communication abilities to work with US-based stakeholders.
Key Highlights
Design and maintain dbt data models serving as trusted sources of truth
Develop deep understanding of property management, accounting, and operational data sources
Build dashboards and reports for business stakeholders using Power BI/Tableau/Looker
Write optimized SQL with complex transformations and window functions
Key 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 for complex transformations and data modeling
Develop a deep understanding of data sources (property management, accounting, and operational systems) and become a go-to expert on their nuances
Build dashboards and reports for business stakeholders and partners 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 including version control with Git/GitHub, code review, CI/CD, documentation, and data quality testing
Proactively monitor and improve data quality to catch issues before the business does
Technical Skills Required
Benefits & Perks
Fully remote
8:00 AM to 5:00 PM US Pacific Time (PST)
Nice to Have
Experience with the modern data stack (Databricks, Snowflake, or similar cloud warehouse)
Fivetran
Orchestration tools like Airflow or Dagster
Experience in finance or real estate
Yardi data or other real estate platform data
Job Description
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
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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
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- 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.
- Hands-on experience with Yardi data or other real estate platform data (major brownie points for this one)
- Fully remote
- Fluent in English
- Will work 8:00 AM to 5:00 PM US Pacific Time (PST)
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