Data Engineer

Branch helps millions of workers get paid faster and manage their money better. Our team is responsible for the data that drives many critical processes at Branch, including money movement, automated fraud response, and client reporting.

We're looking for a Data Engineer to join our Data Engineering team. In this role, you’ll work with other engineers and stakeholders to build and maintain the pipelines that power the rest of Branch. You'll deliver new pipelines and build the underlying components (hooks, utilities, internal libraries) that future pipelines will be built from.

This is a great role for someone with a few years of data engineering experience who's ready to grow into more end-to-end ownership. Our team is small, high-trust, and values clarity, maintainability, and getting the details right.

What You'll Do:

Build and maintain data pipelines that other teams and customers rely on

Integrate with internal and external APIs to send and receive data

Orchestrate and automate workflows using Airflow on Kubernetes

Implement unit tests, monitoring, and alerting to ensure data reliability

Improve the observability and efficiency of existing pipelines

Monitor production pipelines, debug issues, and document root causes

Work with stakeholders to clarify requirements and validate assumptions

Contribute to design discussions and surface functional gaps early

What We're Looking For:

Required

3+ years of Data Engineering experience

3+ years of Airflow experience

Proficiency in Python and SQL

Working knowledge of our existing tech stack: Snowflake, Airflow, DBT, GCP

BS in Computer Science or related field

Nice to Have

Experience in fintech, payments, or a related industry

Experience with managing Airflow

Compensation:

The base salary range for this role is $135-145k. The salary range displayed reflects an average base salary range for the position across all the U.S. The base salary offered to an applicant could be higher or lower based on each applicant's specific skill set, depth of experience, relevant education or training, etc.