Senior Analytics Engineer
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 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
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
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
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.
If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please email [email protected].
Disclosures:
For information on our data privacy policies, see the Brigit California Personnel Privacy Policy.
Brigit uses E-Verify for employment authorization. See the E-Verify and Department of Justice websites for more details.