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 As a Software Engineer for our growing Data Platform team, you will be responsible for designing, developing, and maintaining our data infrastructure, including pipelines and 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: 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. 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. Establish and maintain MLOps workflows, ensuring seamless deployment, monitoring, and serving of ML models and features. 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 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 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].