Business Intelligence Data Engineer

As seen on TechCrunch, Forbes, and Bloomberg, join one of fastest growing areas in FinTech by taking on the credit system. 

Work directly with one of Inc.’s top female founders and learn from some of the most talented people in the industry. Headquartered in San Francisco, Tomo’s mission is to replace the outdated credit system and open access to banking. 

We value passionate, down to earth, “can do” people who enjoy fine-tuning small details, without losing sight of the big picture. We are looking for someone who is driven to get things done and views obstacles as an exciting challenge that demands a creative solution. You are a self-starter with a high degree of rigor, organization, and discipline to get things done. Above all else, this role requires someone who takes great pride in their work and is inspired and motivated by their role in improving the way millions of people build their financial future.

Job Summary:

As a Business Intelligence Engineer / Analytics Engineer, you will be responsible for building and maintaining the data models, dashboards, and analytics pipelines that power our decision-making. You’ll collaborate with teams across product, engineering, operations, and finance to ensure we have reliable, scalable, and actionable data.

Key Responsibilities:

• Data Infrastructure & Modeling: Design, build, and maintain scalable data models in our data warehouse (e.g., Snowflake, BigQuery, Redshift).
• BI & Reporting: Develop interactive dashboards and reports using tools like Looker, Tableau, or Power BI to provide key business insights.
• ETL & Data Pipelines: Create, optimize, and maintain ETL processes using dbt, Airflow, or similar tools.
• Data Quality & Governance: Ensure data accuracy, consistency, and integrity across all systems.
• Cross-Functional Collaboration: Work closely with product, engineering, finance, and other stakeholders to understand data needs and deliver insights.
• Advanced Analytics: Conduct deep-dive analyses to identify trends, opportunities, and areas for improvement.
• Automation & Optimization: Implement automation and performance improvements for reporting and analytics workflows.

Qualifications:

• 3 years of experience as a Business Intelligence Engineer, Analytics Engineer, or similar role.
• Hands-on experience with dbt (data modeling, transformations, testing).
• Strong SQL skills and experience with data modeling best practices.
• Experience with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift).
• Proficiency with BI tools like Looker, Tableau, Power BI, or similar.
• Experience with ETL and orchestration tools like Airflow, Fivetran, or custom-built pipelines.
• Understanding of data governance, security, and compliance best practices.
• Ability to communicate complex data concepts to non-technical stakeholders.
• Experience in fintech, credit, or financial services is a plus.
• Bonus: Familiarity with Python, R, or other data scripting languages.

Why TomoCredit?

Join a team where your work makes a significant impact on the future of credit and banking. At TomoCredit, you’ll collaborate with seasoned FinTech executives from Square, Lending Club, and American Express. We’re committed to fostering a culture where people love what they do and the team they work with. Here’s what we offer:

• Competitive Salary: Reflecting your skills and experience.
• Equity: We share our success with our employees through ownership stakes.
• Insurance: Comprehensive medical, dental, and vision benefits.
• Flexible Vacation Policy: We trust you to manage your time wisely to prevent burnout.
• Career Growth Opportunities: Take advantage of mentorship from seasoned professionals and expand your role as TomoCredit grows.
• Company-Sponsored Outings: Build meaningful relationships with your team outside of work.

Commitment to Diversity

At TomoCredit, diversity and inclusion are core to our values. We welcome applications from all qualified individuals, regardless of race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.

Join us in reshaping the credit landscape and empowering millions to build a stronger financial future!

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