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Sobre esta vaga de Data Engineer na Branch

Branch · Remoto · Remote, US

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 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. 

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 birthing and non-birthing parents
  • Flexible time off + sick and safe time
  • 11 paid company holidays
  • Branch@Branch Same Day Pay Option

Identity Verification

As part of our application process, you'll receive a separate email from Greenhouse shortly containing a unique identity verification link. This step, powered by Persona, helps us confirm applicant identities and keep our hiring process secure for everyone. 

Upon identity verification, all biometric data is deleted. If you need support completing this application, please reach out to [email protected]

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.

Must be currently authorized to work in the USA without sponsorship or transfer.

No third-parties, please.

View how Branch collects your personal data here.

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Como este salário de Data Engineer se compara

Esta vaga paga $140,000/yr — abaixo da faixa típica para vagas de Data Engineer.

$124,877 a mediana $173,750 $274,399

Faixa típica $150,500–$219,719/yr, com base em 86 vagas de Data Engineer comparáveis na JobsRadar (pagamento anualizado em USD). Ver insights salariais de Data Engineer →

Sobre a Branch

At Branch, we value a diversity of opinions and working styles, but there are three practices we try to collectively put in action: Think Big, Move Fast, Win Together. We're looking for talented individuals to help us build and deliver more inclusive, transparent, and frictionless financial products.

Explore our open positions to see how your skills might contribute to Branch's mission of helping working Americans grow financially!

Ver todas as vagas na Branch →

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