Data Engineer (Senior)

Description

The company is building a global consumer neobank that merges international banking and payments into one product. Customers will be able to spend, save and earn in USD. The US launch comes first, followed by select international markets, with plans to grow well beyond that.

The team is small and senior-only, made up of experienced operators and engineers who have built and run services used by hundreds of millions of people. Launch distribution comes from day-one partners. Everyone on the team ships product and helps set the company's direction.

Responsibilities

• As the first Data Engineer on this small senior team, you will design and build the core systems and workflows that move data through the internal architecture and out to other systems.
• Build the pipelines that let engineers pull product data and platform telemetry into one analytics platform.
• Give the FinOps team ledgers that are consistent and reliable across several financial partners and accounts.
• Ship clean, well-described data models into the internal decisioning platform so the Fraud and AML (Anti-Money Laundering) team can build strong risk models and workflows.
• Use Terraform, dbt and AWS services to build data and applications on a solid, sturdy base.
• Design secure least-access patterns so people and machines get the data they need, when they need it, while keeping lineage and governance intact within the regulatory and compliance framework the company follows.
• Document the infrastructure and teach the wider engineering team how to build and maintain high-quality systems that serve a global user base.

Requirements

• Extensive hands-on experience building scalable data architectures in a consumer FinTech setting, using Terraform, dbt and SQL.
• Expert knowledge of data-centric development patterns for writing and validating many kinds of code, deployed to both internal and hosted environments.
• Strong technical writing, clear for both AI systems and readers who are not subject-matter experts.
• Data visualization and storytelling techniques.
• Deep expertise in full-stack applications and machine learning.
• Specific experience with global payments, ledgering and other user-facing FinTech applications.

Conditions

Salary range: $200K-$400K in cash compensation.

Benefits

• Day one impact on partner products used by millions of people worldwide.
• Help shape the technical vision and architecture as the company grows.
• Own major parts of the product and infrastructure.
• Move fast with little corporate overhead.