Software Engineer, Data Platform

About OnePay

OnePay is a consumer financial services app with an exceedingly simple mission: to help people achieve financial progress.

Tens of millions of Americans today are unbanked or underbanked, meaning they don’t have enough money in savings to cover a minor emergency. They pay too much in fees, don’t have access to credit at affordable rates, and have little ability to grow their wealth. OnePay’s vision is to create a single app for consumers to save, spend, borrow, and grow their money, bringing our mission to life with simple and accessible banking, credit, and payments products that deliver a best-in-class experience to millions of customers. Our products include:

• Checking and high-yield savings accounts

• Domestic and international peer-to-peer payments

• Credit Builder and credit score monitoring

• Digital wallet / contactless payment solutions

• Buy-now-pay-later installment loans at Walmart

Why do we have a right to win? We have the backing of Walmart (a Fortune 1) and Ribbit Capital (a preeminent fintech investor), are deeply embedded with the distribution of the world’s largest omnichannel retailer, and have an industry-leading multi-product value proposition — all in addition to having some of the best people and talent in the industry.

There’s never been a better time to build a category-defining business and there has rarely been a team better positioned for the opportunity. Join us!

The role

We are seeking a skilled and experienced Software Engineer for our growing Data Platform team. You will be responsible for designing, developing and maintaining our data infrastructure, including data pipelines and data warehouses. This role will play a pivotal part in driving our data strategy, enabling advanced analytics, and supporting Generative AI and Machine Learning operations at scale. You will work closely with the machine learning and AI, analytics and backend 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 streaming and batch data pipelines using Databricks, Spark, and Python.

• Ensure data infrastructure is reliable, secure, and scalable, adhering to industry regulations and data governance standards.

• Monitor, troubleshoot, and proactively improve data infrastructure to ensure high availability and performance.

• Build and optimize data platforms and warehouses to meet the evolving needs of stakeholders across analytics, machine learning, and backend systems.

• Assist in the re-architecture of batch pipelines to streaming pipelines, ensuring real-time data flow for ML and operational needs.

• Collaborate with data scientists and analysts to streamline data processing for advanced analytics and machine learning.

• Establish and maintain MLOps workflows, ensuring seamless deployment, monitoring, and serving of ML models and features.

• Drive feature engineering and create systems to stage and serve features for machine learning.
  

You bring

• 3-7 years of experience in software engineering for a data platform or a similar role.

• Expertise in Apache Spark for large-scale data processing.

• Advanced knowledge of production-level Python

• Strong SQL skills for data manipulation and ETL processes.

• Experience with real-time streaming technologies such as Kafka or Kinesis.

• Familiarity with MLOps practices and workflows, including feature engineering, model training, and serving.

• Preferred: Proficiency in Databricks for managing data pipelines and analytics workflows, Infrastructure as Code (IaC), Terraform or AWS preferred

• Strong problem-solving skills and the ability to work collaboratively in cross-functional teams.

• An “act-like-an-owner” mentality with a bias toward taking action.

What We Offer

• Competitive base salary, stock options, and health benefits from Day 1

• 401(k) plan with company match

• Remote-friendly (US), flexible time off (FTO), and opportunities for growth

• A high-growth, mission-driven, inclusive culture where your work has real impact

Pay Transparency

The estimated annual base salary for this position ranges from $130,000 to $180,000.  Pay is generally based upon the level, complexity, responsibility, location 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.

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.

Standard Interview Process

• Initial Interview with Talent Partner

• Technical or Hiring Manager Interview

• Team Interview

• Executive Interview

• Offer!

Equal Employment Opportunity

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. 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 [email protected].