Senior Data Engineer

Branch

6h•$160,000 - $175,000•Remote

About The Position

Branch is on a mission to empower workers with financial freedom by helping companies accelerate payments and providing working Americans with accessible, free financial services. We are looking for a Senior Data Engineer to join our Data Engineering team. In this role, you will work with other engineers and stakeholders to build and maintain the pipelines that power the rest of Branch. You will drive design decisions, build reusable patterns and components for other engineers to adopt, and make tradeoffs across cost, performance, and maintainability to keep our platform fast and trustworthy as we scale. This is a great role for an experienced data engineer who wants to own systems end-to-end and shape how the team builds going forward. Our team is small, high-trust, and values clarity, maintainability, and getting the details right.

Requirements

5+ years of Data Engineering experience
3+ years of Airflow experience
Expert in Python and SQL
Strong working knowledge of our existing tech stack: Snowflake, Airflow, DBT, GCP
BS in Computer Science or related field

Nice To Haves

Previous work experience in Fintech, Payments, or related industries
Experience with managing Airflow on Kubernetes
Experience with data streaming (Apache Beam, Dataflow)
Experience with automated ETL (Fivetran, HighTouch)

Responsibilities

Own end-to-end data systems and pipelines, that other teams and customers rely on
Design and implement data integrations across multiple backend business systems, ensuring efficient and reliable data flows
Work on streaming data processing using frameworks like Apache Beam to handle real-time data ingestion and transformation
Build and maintain APIs to enable seamless data access and sharing across internal teams and platforms
Manage orchestration and automation of workflows using Airflow on Kubernetes
Define what "correct" means for the data you own, and back it with monitoring, alerting, and integration tests
Build reusable patterns and components (hooks, plugins, alerting utilities) that are easily adoptable by other engineers and processes
Break down ambiguous work into actionable tasks, surface edge cases and failure modes early, and clarify requirements with stakeholders
Communicate tradeoffs, assumptions, and risks clearly in design reviews and PRs