Senior Analytics Engineer

Brigit • New York, NY

2d

About The Position

Brigit is a financial health platform helping everyday Americans build financial resilience. Our Data team sits at the center of every product, pricing, and promotion decision — and Analytics Engineering is the foundation that makes trustworthy, consistent data possible across the company. As our Senior Analytics Engineer, you'll own the analytics layer end-to-end: the dbt models, the orchestration, the documentation, and much of the metric definitions that the entire company relies on. This is a high-ownership, high-visibility IC role. You'll be the connective tissue between raw data and the analysts, PMs, and finance partners who depend on it every day.

Requirements

• 5+ years of experience in analytics engineering, data engineering, or a closely related role
• Strong SQL and data modeling fundamentals with opinions about mart layer architecture
• Experience with Snowflake (or comparable cloud warehouse) in a production context
• Comfort owning orchestration tooling (Airflow, dbt Cloud, or equivalent)
• A track record of building durable documentation that actually gets used
• Strong communication skills across both technical and business audiences
• Curiosity and drive to explore and integrate new tools in a rapidly evolving landscape
• Ownership mindset and a bias for action

Responsibilities

• Own the dbt project(s). Maintain, evolve, and review pull requests across our dbt codebase in Snowflake. You'll be a code owner on the repo and will uphold and improve our SQL style, materialization patterns, incremental model conventions, and layered architecture.
• Orchestrate the analytics pipeline. Manage our production dbt jobs and their SLAs (currently targeting 7AM ET freshness), monitor runtimes in Metaplane, and proactively tune orchestration to keep jobs healthy as the data volume grows.
• Define and defend shared metrics. Be the authority on key metric definitions and ensure analysts, dashboards, and downstream models are using the canonical source. Participate in definition discussions and ensure decisions are documented.
• Drive documentation culture. Build and own our Data tables documentation wiki and dbt model documentation. Write runbooks for incident response, onboarding guides, and contribution standards so the team can operate confidently and we can easily provide context for various genAI tools.
• Lead data quality and observability. Manage Metaplane monitors, triage alerts, and maintain data contracts with downstream consumers. Debug anomalies end-to-end — from ingestion to the dashboard.
• Deprecate the old, build the new. Continuously identify models that no longer serve us, shepherd them through deprecation with proper signoff, and clean up corresponding warehouse tables and monitors.
• Support compliance and vendor management. Handle audit and compliance reviews involving our dbt and BI tooling (Upbound/SOX), manage our dbt contract renewals, and track consumption-based usage.
• Mentor the broader data team. Run code reviews with domain analysts, establish review coverage by product area, and help analysts grow their dbt contribution skills.

Benefits

• Medical, dental, and vision insurance
• Flexible PTO Policy
• 401k plan
• Paid Parental Leave
• Physical and mental wellbeing benefits including Wellhub for access to virtual workouts and discounted gym memberships, and Headspace for covered virtual therapy sessions and unlimited on demand health support
• Monthly reimbursements to use against wifi and cell phone bills
• Annual reimbursement for Learning & Development

What This Job Offers

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