We bind our fortunes to those who dare to burn
away the obsolete and forge the unimagined future.

Engineering Manager, Data



Posted on Tuesday, February 6, 2024

About ONE

ONE's mission is simple — financial progress. We’re doing this by creating simple solutions to help our customers save, spend, 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 Engineering Manager, you will play a key role in designing, implementing, and managing robust data pipelines and infrastructure that power our data-driven initiatives.

This role is responsible for:

  • Leading and mentoring a team of data engineers, fostering a collaborative and high-performing culture.

  • Designing, developing, and maintaining low-latency data pipelines using Apache Spark and Scala, while ensuring data accuracy, reliability, and efficiency.

  • Implementing and optimizing Spark structured streaming to process real-time data and support timely business insights.

  • Optimizing SQL queries and design data structures in data lakes and warehouses to improve overall performance and query efficiency.

  • Fostering cost-consciousness and creative problem-solving in the team to optimize cloud-based solutions and reduce operational expenses.

  • Utilizing your expertise in AWS cloud services and technologies to architect and build robust data solutions on the cloud platform.

  • Leading the successful delivery of non-trivial data products and services, ensuring high-quality standards across all aspects of development and deployment.

  • Collaborating with cross-functional teams, including Data Scientists, Product Managers, and Software Engineers, to understand data requirements and deliver data solutions aligned with business goals.

  • Staying updated with the latest industry trends and best practices, sharing knowledge and encouraging the team to continuously improve their skills.

  • Fostering a passion for data engineering and our company's mission, instilling a culture of quality, open communication, and continuous learning.

You bring

  • Expert Career (10+ Years)

  • Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.

  • Proven experience in designing and implementing low-latency data pipelines using Spark structured streaming.

  • Solid understanding of optimizing SQL queries and experience with data lake and data warehouse design.

  • Proficiency in AWS cloud services and technologies, with a track record of building scalable solutions on the cloud platform.

  • Prior experience managing and leading a team of data engineers or related roles.

  • Demonstrated ability to build and deliver non-trivial data products and services.

  • A passion for technology and data, with a strong emphasis on quality and continuous improvement.

  • Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.

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

Pay Transparency

The estimated annual base salary for this position ranges from $175,000 to $250,000. Pay is generally based upon the level, complexity, responsibility, and job duties / requirements of the specific position. We then source candidates with the requisite skills, expertise, education, training, and experience. If you are selected for an interview, please feel welcome to speak to a Talent Partner about our compensation philosophy and other available benefits.

What it’s like working @ ONE

Our teams collaborate remotely and in our work spaces in New York and Sacramento.

  • Competitive cash

  • Benefits effective on day one

  • Early access to a high potential, high growth fintech

  • Generous stock option packages in an early-stage startup

  • Remote friendly (anywhere in the US) and office friendly - you pick the schedule

  • Flexible time off programs - vacation, sick, paid parental leave, and paid caregiver leave

  • 401(k) plan with match

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 talent@one.app.