Data Engineer

About the Role

Join a Y Combinator-backed fintech startup building an AI-powered voice and omnichannel platform for debt collections and financial servicing. As a Data Engineer, you'll work directly with the founding team to design end-to-end data pipelines and analytics that turn millions of call events into actionable insights. You'll shape the data infrastructure from the ground up — building dashboards, APIs, and interfaces that put critical information into the hands of decision-makers at financial institutions.

This is a high-impact, early-stage role for someone who thrives at the intersection of data engineering and product thinking in a fast-moving environment.

What You'll Do

• Design and build end-to-end data pipelines covering ingestion, transformation, and analytics at scale.

• Architect the infrastructure needed to process and analyze millions of call events.

• Build dashboards, APIs, and React-based interfaces that surface insights to operators and customers.

• Collaborate closely with the founding team and external customers to translate data into real operational decisions.

What We're Looking For

Required:

• Proficiency with SQL and relational databases, particularly PostgreSQL.

• Proven experience designing and building end-to-end data pipelines for ingestion, transformation, and analytics.

• Hands-on experience with AWS cloud services.

• Exposure to or experience with TypeScript for integration with frontend dashboards or interfaces.

Nice to Have:

• Experience with Supabase as a backend data store.

• Experience building dashboards and APIs to deliver data-driven insights.

• Background in financial services or healthcare contexts.

• Strong written and verbal communication skills with the ability to collaborate with customers and a founding team.

Compensation & Benefits

• Salary: $100,000 – $150,000 USD per year

• Visa sponsorship is available

Location

This role is on-site in San Francisco, CA. Candidates must be able to work from the San Francisco office full-time.