Imprint

1 month ago

Senior BI Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Senior BI Engineer responsible for designing, building, and delivering scalable data products that inform business decisions across the company. You will own data modeling, semantic layers, and self-serve analytics, partner with cross-functional teams, and leverage AI-assisted tooling to accelerate delivery while ensuring data quality and governance.

Location: New York, San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Key Responsibilities

•Design, build, and maintain scalable data models, semantic layers, and data visualizations that serve business-critical reporting needs
•Partner with stakeholders across Engineering, Product, Finance, Marketing, and Operations to understand data requirements and translate them into reliable data solutions
•Own data quality, documentation, and governance practices for BI assets — ensuring dashboards and models are accurate, trustworthy, and maintainable
•Build and maintain dbt models to support consistent, reusable data definitions
•Leverage AI-assisted development tools to accelerate model development, dashboard scaffolding, and documentation — treating AI as a productivity multiplier while owning the analytical design and validation

Pay and Benefits

Salary: USD 170,000 - 210,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceEquityParential LeaveFsa

Key Requirements

•Demonstrated experience designing and delivering production-grade solutions in a complex, high-scale data environment
•Deep proficiency in SQL and data modeling; strong ability to read, validate, and direct complex queries in AI-assisted workflows
•Experience with a modern data stack (e.g. Snowflake/Databricks, dbt, Sigma/Looker)
•Strong ability to work directly with stakeholders—translating ambiguous business questions into clear, scoped data solutions
•Track record of building data products that are adopted and trusted by non-technical users

Experience:FintechPayments

Skills:SQLData modelingDbtSnowflakeDatabricksSigmaLookerAI toolingPython

Languages:English

Tech Stack:SQLSnowflakeDatabricksDbtSigmaLookerPythonAI tools

Company Brief

Imprint

Builds a modern co-branded financial platform that partners with consumer brands to design, launch, and operate credit, deposit, and loyalty products that drive engagement, spend, and long-term customer value.

Industry: Fintech Infrastructure

Company Size: Medium (51 to 250 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series D

Headquarters: New York, United States

Founded: 2020

Glassdoor: 3.0

Website LinkedIn Glassdoor

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Imprint

1 month ago

Senior BI Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: New York, San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Key Responsibilities

•Design, build, and maintain scalable data models, semantic layers, and data visualizations that serve business-critical reporting needs
•Partner with stakeholders across Engineering, Product, Finance, Marketing, and Operations to understand data requirements and translate them into reliable data solutions
•Own data quality, documentation, and governance practices for BI assets — ensuring dashboards and models are accurate, trustworthy, and maintainable
•Build and maintain dbt models to support consistent, reusable data definitions
•Leverage AI-assisted development tools to accelerate model development, dashboard scaffolding, and documentation — treating AI as a productivity multiplier while owning the analytical design and validation

Pay and Benefits

Salary: USD 170,000 - 210,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceEquityParential LeaveFsa

Key Requirements

•Demonstrated experience designing and delivering production-grade solutions in a complex, high-scale data environment
•Deep proficiency in SQL and data modeling; strong ability to read, validate, and direct complex queries in AI-assisted workflows
•Experience with a modern data stack (e.g. Snowflake/Databricks, dbt, Sigma/Looker)
•Strong ability to work directly with stakeholders—translating ambiguous business questions into clear, scoped data solutions
•Track record of building data products that are adopted and trusted by non-technical users

Experience:FintechPayments

Skills:SQLData modelingDbtSnowflakeDatabricksSigmaLookerAI toolingPython

Languages:English

Tech Stack:SQLSnowflakeDatabricksDbtSigmaLookerPythonAI tools

Company Brief

Imprint

Industry: Fintech Infrastructure

Company Size: Medium (51 to 250 employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series D

Headquarters: New York, United States

Founded: 2020

Glassdoor: 3.0

Website LinkedIn Glassdoor