Senior Data Engineer

Branch is on a mission to empower workers with financial freedom by providing accessible financial services. They are seeking a Senior Data Engineer to join their Data Engineering team, responsible for building and maintaining data pipelines that drive critical processes at Branch.

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

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
• 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)