Data Engineer

BBR Partners • New York, NY

8h • $110,000 - $125,000 • Hybrid

About The Position

BBR Partners is seeking a Data Engineer to contribute to the build-out and ongoing maintenance of our modern data infrastructure, which supports investment, research, and operations capabilities across the firm. This role focuses on building well-tested, business-ready datasets in dbt and Snowflake, translating financial domain logic from legacy systems into clean, documented models that serve teams across the firm. The ideal candidate has a solid technical foundation, an eagerness to grow, and direct experience working with data in the securities, wealth management, or financial services industry.

Requirements

• 2-4+ years of experience in data engineering roles.
• Strong Python and SQL. Comfortable writing production code, not just notebooks.
• Experience with Snowflake or similar cloud warehouse. Working knowledge of SQL Server - able to read and reverse-engineer stored procedures, views, and legacy logic. Hands-on Airflow/Python ETL tooling preferred.
• Prior experience working with financial services data. Candidates must demonstrate meaningful exposure to relevant data domains such as securities identifiers (tickers, FIGI, CUSIPs, ISINs), client portfolios, positions and holdings, performance reporting, or fund operations. Experience at a wealth manager, asset manager, hedge fund, or market/alternative data provider strongly preferred.
• Comfortable working autonomously with minimal direction. Proactive problem-solver who acts on gaps without waiting for assignment.
• Experience with dimensional modeling and data warehouse design patterns.
• Able to explain technical tradeoffs to non-technical stakeholders clearly and without jargon.

Nice To Haves

• Experience with the following technologies: dbt, Docker, Terraform, Azure, GitHub Actions, Datadog.

Responsibilities

• Develop and maintain data models in dbt, implementing tests, documentation, and lineage tracking as standard practice.
• Translate business logic from legacy SQL Server systems into clean, tested dbt models as part of ongoing platform modernization.
• Build and optimize data pipelines that ingest, transform, and deliver investment, portfolio, and client data across the firm.
• Build and optimize analytical datasets in Snowflake to support reporting and business intelligence.
• Write and maintain Airflow DAGs, Python, SQL for scheduled and event-driven workflows, following CI/CD practices for deployment.
• Collaborate across engineering, analytics, and business teams – integrating into a firm where everyone contributes beyond their lane.
• Identify manual or fragile processes and build automated, sustainable replacements. Own problems end-to-end.
• Implement monitoring and alerting (Datadog) to catch pipeline failures and data quality issues before they reach stakeholders.
• Participate in code reviews and contribute to team engineering standards

Benefits

• Competitive base salary and incentive compensation.
• Company subsidized health, dental and vision insurance for employee, partner, and dependents.
• 401K plan, Life insurance, and short & long-term disability coverage.
• One Medical membership (covered for employee and dependents), Employee assistance program (EAP), Gym reimbursement and other wellness offerings.
• Pre-tax transit and parking programs, Health Savings Account (HSA) and flexible spending programs for medical and dependent care.
• Personalized development and career opportunities.
• Flexible time off, paid parental leave, and opportunity for Sabbatical with company tenure.
• Hybrid remote work environment, “Work from Anywhere” weeks, and casual dress.
• New office space with a variety of perks and amenities including catered lunches and stocked pantry.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed