Senior Analytics Engineer

Brigit; San Francisco (CA); On-site; USD 170,000 - 190,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

Flexible PTO

401k plan

Wellbeing benefits

Wifi & cell phone reimbursements

Learning & Development reimbursement

Job summary

Brigit is seeking a Senior Analytics Engineer to own the analytics layer end-to-end, including dbt models, orchestration, and metric definitions. You will bridge raw data with analysts, PMs, and finance, ensuring reliable data across the company.

You’ll lead the analytics pipeline, enforce data quality, and contribute to documentation and governance. A high-ownership IC role in a fast-growing fintech team.

Qualifications

• 5+ years of analytics engineering, data engineering, or related roles.
• Strong SQL and data modeling fundamentals with mart layer architecture.
• Experience with Snowflake in production context.
• Comfort owning orchestration tooling (Airflow, dbt Cloud, or equivalent).
• Track record of building durable documentation used by teams.
• Strong communication skills across technical and business audiences.
• Curiosity and drive to explore and integrate new tools in a rapidly evolving landscape.
• Ownership mindset and bias for action.

Responsibilities

• Own the dbt project(s) and maintain code quality.
• Orchestrate production dbt jobs and monitor SLAs.
• Define and defend canonical metric definitions for analysts and dashboards.
• Drive documentation culture with runbooks and wiki content.
• Lead data quality and observability, manage monitors and contracts.
• Deprecate old models and clean up related warehouse objects.
• Support audit, compliance, and vendor management.
• Mentor the data team and review code with analysts.

Skills

SQL

Data modeling

Data warehousing

Documentation

Communication

Curiosity

Ownership

Tools

Snowflake

Airflow

dbt Cloud

Job description

Hi, we're Brigit! A holistic financial health company helping everyday Americans build a brighter financial future. With a business model that is aligned with our customers, we create transparent, fair, and simple financial products that put money back in the hands of our members, help them spend wisely, avoid unfair fees and build their credit quickly. If autonomy, ownership, and having meaningful input at the company you work for is important to you, come join our growing team!

Brigit is doing innovative and exciting work, but don’t just take our word for it, our work is being recognized by others:

• Built In’s 2026 Best Midsize Companies to Work For in New York City
• Built In’s 2025 Best Places to Work For In New York City
• Built In’s 2024 & 2025 Best Startups to Work For In the U.S.
• Built In’s 2023 - 2025 Best Startups to Work For In New York City
• Fast Company’s Most Innovative Companies of 2022
• Business Insider’s Most Promising Consumer Startups 2022

The Role

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.

What you’ll be doing

• 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.

What you have

• 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

The anticipated annual base salary for this position is $170,000 - $190,000. This range does not include any other compensation components or other benefits for which an individual may be eligible (other benefits listed below). The actual base salary offered depends on a variety of factors, which may include as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job.

Our Benefits & Team:

• Medical, dental, and vision insurance
• Flexible PTO Policy
• 401k plan
• 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

Brigit is committed to providing equal employment opportunities for all applicants and employees without regard to race, religion, color, sex, pregnancy (including breast feeding and related medical conditions), national origin, citizenship status, uniform service member status, age, genetic information, disability, or any other protected status in accordance with all applicable federal, state and local laws. We are proud to be an equal opportunity workplace.