Data Engineer

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.

Responsibilities include, but are not limited to:

• Develop, maintain, and optimize data pipelines to support analytics, reporting, and business intelligence needs.
• 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.
• Ensure data quality, security, and compliance by implementing best practices for monitoring, testing, and governance.
• Collaborate with analytics and engineering teams to optimize data models and improve system performance.

Qualifications: 

• 3+ years of experience as a Data Engineer
• 3+ years of using Apache Airflow in a production setting.
• Expert in Python and SQL
• Hands-on experience with cloud platforms such as Google Cloud (GCP) or AWS.
• Familiarity with our modern data stack:
  • Snowflake, Airflow, Apache Beam, DBT, Looker, Secoda, Fivetran, hightouch
• BS in Computer Science or equivalent program
• Bonus points for:
  • Payments experience (or related industry)
  • Experience with streaming data architectures

Ideal candidates will bring a blend of technical expertise, industry knowledge, and a deep understanding of analytics engineering best practices. Familiarity with leading-edge tools and technologies in the data landscape is essential for driving insights and innovations within our team.

Compensation:
The base compensation range for this role is 135-150k.  The salary range displayed reflects an average base salary range for the position across all the US. The base salary offered to an applicant could be higher or lower based on each applicants’ specific skill set, depth of experience, relevant education or training, etc. The base salary range listed excludes commission/ bonus/ equity or benefits.

Benefits: 

• Branch-paid medical, dental, and vision insurance 
• Remote-first (domestic USA)
• Equity
• 401k
• Flexible time off
• Paid company holidays
• Paid parental leave (eligible after 6 months of employment)

Working at Branch

A remote-first company with employees located throughout the U.S., Branch emphasizes transparency, accountability, and trust to create a collaborative environment where our product, engineering, marketing, customer support, customer success, and sales teams can all thrive together.  Learn more about what we do in this video!

Our collaborative spirit has helped us become an award-winning fintech company, with Branch’s innovation and workplace recognized across industries. Branch has been honored by Inc., the Webby Awards, Benzinga Fintech Awards, Fintech Breakthrough Awards, Top Workplaces USA, Great Places to Work, and EY Entrepreneur of the Year, Heartland, among others.  

Learn more about our culture, approach, technology, and people here: https://www.branchapp.com/about

Branch is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.