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!
As a data engineer, you will be responsible for designing, developing and maintaining our data infrastructure, including data pipelines and data warehouses. This role will impact One’s vision by enabling scalable, high-performance data architecture that empowers data-driven decision-making across the organization. You will work closely with the data science, business analysts and software engineering team(s) to ensure our data architecture meets the needs of our business and enables us to make data-driven decisions.
Responsibilities
Design, implement, and maintain robust data pipelines and workflows using Databricks, Spark, and Python.
Build and optimize data warehouses to meet the evolving needs of business stakeholders.
Collaborate with data scientists to streamline data processing for advanced analytics and machine learning.
Work closely with software engineers to align data architecture with the overall system architecture and engineering practices.
Ensure data infrastructure is reliable, secure, and compliant with relevant industry regulations and data governance standards.
Monitor, troubleshoot, and proactively identify improvements in the data infrastructure to ensure high availability and performance.
5+ years of experience in data engineering or a similar role
Proficiency in Databricks for managing data pipelines and analytics workflows
Strong experience with Apache Spark for large-scale data processing.
Advanced knowledge of SQL for data manipulation, querying, and creating ETL processes.
Expertise in Python for scripting, automation and building data workflows.
Strong problem solving and analytical skills
Ability to work collaboratively with cross functional teams
Familiarity with real-time data streaming technologies (Kafka, Kinesis).
Experience with IaC for infrastructure and pipeline implementations.
Experience with cloud services (prefer AWS).
An act-like-an-owner mentality. We have a bias toward taking action.
The estimated annual base salary for this position ranges from $135,000 to $175,000. 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.
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
We use Covey as part of our hiring process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on May 31, 2024.
Please see the independent bias audit report covering our use of Covey here.
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.
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.
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