Senior Data Engineer

About us: Branch is on a mission to empower workers with financial freedom. We do this by helping companies accelerate payments and providing working Americans with accessible, free financial services. We’re committed to building and delivering more inclusive, transparent, and frictionless financial products. Our goal of empowerment extends to our own employees, too. Have a great idea? Share it today and it might just get implemented tomorrow. As a member of our team, your voice and creativity matter—and they can directly impact our products, company, and culture. We not only focus on attracting great talent from across the country, but also on building teams that help that talent thrive. That means valuing a diversity of opinions and working styles, while creating a shared belief in innovation, initiative, and winning together. Come join our team as we develop new ways to improve the lives of working Americans. About the role: 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 Senior 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 drive design decisions, build reusable patterns and components other engineers adopt, and make the tradeoffs across cost, performance, and maintainability that 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. What You’ll Do 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 Qualifications: 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 Have 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) Compensation: The base salary range for this role is $160-175k. 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. Location: This position is classified as REMOTE within the United States of America. We are unable to hire candidates located outside of the domestic U.S. Benefits: Market-leading medical, dental, and vision insurance Stock options Free Premium-Tier Origin Financial Wellness subscription Monthly home-office stipend 401k (TransAmerica) 12-weeks paid parental leave for