Senior Analytics Engineer

Brigit

Senior Analytics Engineer at Brigit developing analytics layer and managing dbt projects for financial health platform. Collaborating with analysts, PMs, and finance partners to ensure data consistency.

Posted 5/5/2026full-timeNew York City • New York • 🇺🇸 United StatesSenior💰 $170,000 - $190,000 per yearWebsite

Tech Stack

Tools & technologies

AirflowCloudSQL

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Benefits

Comp & perks

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
Help hard working Americans build a brighter financial future
High-growth company
A dynamic, flexible and collaborative start-up work environment with a highly talented team

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

SQLdata modelingdbtSnowflakeAirflowdata qualityobservabilityanalytics engineeringdata engineeringdocumentation

Soft Skills

strong communicationownership mindsetcuriositydrive to explorementoringcollaborationleadershipproblem-solvingattention to detailbias for action