Staff Data Engineer

Bengaluru, India Remote Hybrid
Python SQL AWS Streaming Spark Scala

About One

One’s mission is simple - to help customers achieve financial progress. We’re doing this by creating simple solutions to help our customers save, spend, borrow, and grow their money – all in one place.

The U.S. consumer today deserves better. Millions of Americans today can’t access credit, build savings or wealth, and are left to manage their financial lives through multiple disconnected apps. Almost a quarter of U.S. adults are unbanked or underbanked and roughly 80% of fintech users rely on multiple accounts to manage their finances.

What makes us unique? We are backed by a preeminent fintech investor (Ribbit) and the world’s largest retailer (Walmart), maintain the speed and independence of a startup, and employ a strong (and growing) collection of world-class talent.

There’s never been a better moment to build a business that helps people achieve financial progress. Come build with us!

The role

As a data engineer, your mandate is to build the data transformation pipelines & reporting infrastructure that serve our members and run our company. This role will impact One’s vision by writing, reviewing, and shipping code and collaborating with others across the company. You will work closely across the Engineering, Product, Compliance and Customer Support team(s) working with stakeholders as highly technical, communicative, and emotionally intelligent partners. This role reports to Manager, Data Engineering.

This role is responsible for: 

  • Building and maintaining One's data infrastructure.

  • Developing and owning One's streaming data transformation pipeline.

  • Managing and supporting reporting and analytics tools.

  • Collaborating closely with our Data Analysts and Data Scientists.

  • Tracking and defining metrics around performance.

  • Additional duties as assigned by your manager.

You bring

  • 8 + years of experience

  • Experience in Apache Spark, Scala, Python, SQL.

  • Experience designing and implementing low latency data pipelines using Spark structured streaming.

  • Experience optimizing SQL queries and lake / warehouse data structures.

  • Cost-conscience creative problem solving.

  • Proficient in AWS cloud services and technologies.

  • Experience building, shipping — and growing — non-trivial products & services. 

  • Passion for your craft, people, and our mission. You value quality across code, communication, and culture.

  • A desire to keep growing your skills, and an ability to learn quickly. We hire for slope, not just y-intercept.

Leveling Philosophy

In order to thoughtfully scale the company and avoid downstream inequities, we’ve adopted a flat titling structure at One. Though we may occasionally post a role externally with a prefix such as “Senior” to reflect the external level of the position, we do not use prefixes in titles like that internally unless in a position which manages a team. Internal titles typically include your specific functional responsibility, such as engineering, product management or sales, and often include additional descriptors to ensure clarity of role and placement within our organization (i.e. “Engineer, Platform”, “Sales, Business Development” or “Manager, Talent”). Employees are paid commensurate with their experience and the internal level within One.

Inclusion & Belonging

To build technology and products that are used and loved by people and solve real-world problems, we need to build a team with many different perspectives and experiences. We are an equal opportunity employer and 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. We encourage candidates from all backgrounds to apply. Applicants in need of special assistance or accommodation during the interview process or in accessing our website may contact us at

Finance Financial Services Mobile Apps Payments

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