3 months ago

Senior Analytics Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Senior Analytics Engineer owning end-to-end analytics layer including dbt models, orchestration, documentation, and metric definitions; acts as the connective tissue between raw data and analysts, PMs, and finance partners in a high-ownership role.

Location: New York, San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Key Responsibilities

•Own the dbt project(s). Maintain, evolve, and review pull requests across our dbt codebase in Snowflake, upholding SQL style and architectural conventions.
•Orchestrate the analytics pipeline. Manage production dbt jobs, SLAs, and monitor runtimes to keep analytics fresh as data grows.
•Define and defend shared metrics. Ensure canonical metric definitions are used across analysts, dashboards, and downstream models.
•Drive documentation culture. Build and own data tables documentation and dbt model docs; write runbooks and onboarding guides for the team.
•Lead data quality and observability. Manage monitors, triage alerts, and maintain data contracts from ingestion to dashboards.

Pay and Benefits

Salary: USD 170,000 - 190,000 annually

Perks:MedicalDentalVision401kRemote WorkPaid LeaveLearning Budget

Key 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.

Experience:5+ yearsData analyticsData engineering

Skills:CommunicationOwnershipCuriosityCollaborationMentorship

Languages:English

Tech Stack:SnowflakeDbtAirflowMetaplaneSQL

Company Brief

Brigit

Brigit provides a financial-health platform offering cash advances, credit-building, budgeting, and identity protection to help consumers avoid overdraft fees and improve financial stability through subscription-based services and AI-driven cash-flow insights.

Industry: Lending

Company Size: Medium (51 to 250 employees)

Revenue: USD 100M to 250M

Growth: Scaleup

Valuation: USD 250M to 500M

Funding: Private Equity Backed

Headquarters: New York, United States

Founded: 2017

Glassdoor: 3.7

Website LinkedIn Glassdoor

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Brigit

3 months ago

Senior Analytics Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: New York, San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Key Responsibilities

•Own the dbt project(s). Maintain, evolve, and review pull requests across our dbt codebase in Snowflake, upholding SQL style and architectural conventions.
•Orchestrate the analytics pipeline. Manage production dbt jobs, SLAs, and monitor runtimes to keep analytics fresh as data grows.
•Define and defend shared metrics. Ensure canonical metric definitions are used across analysts, dashboards, and downstream models.
•Drive documentation culture. Build and own data tables documentation and dbt model docs; write runbooks and onboarding guides for the team.
•Lead data quality and observability. Manage monitors, triage alerts, and maintain data contracts from ingestion to dashboards.

Pay and Benefits

Salary: USD 170,000 - 190,000 annually

Perks:MedicalDentalVision401kRemote WorkPaid LeaveLearning Budget

Key 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.

Experience:5+ yearsData analyticsData engineering

Skills:CommunicationOwnershipCuriosityCollaborationMentorship

Languages:English

Tech Stack:SnowflakeDbtAirflowMetaplaneSQL

Company Brief

Brigit

Industry: Lending

Company Size: Medium (51 to 250 employees)

Revenue: USD 100M to 250M

Growth: Scaleup

Valuation: USD 250M to 500M

Funding: Private Equity Backed

Headquarters: New York, United States

Founded: 2017

Glassdoor: 3.7

Website LinkedIn Glassdoor