Data Infrastructure Engineer
Description Sunbit builds financial technology for real life. Our technology eases the stress of paying for life’s expenses by giving people more options on how and when they pay. Founded in 2016, Sunbit offers a next-generation, no-fee credit card that can be managed through a powerful mobile app, as well as a point-of-sale payment option available at more than 25,000 service locations, including auto dealership service centers, optical practices, dentist offices, veterinary clinics, and specialty healthcare services. Sunbit was included on the 2022 Inc. 5000 list. The financial technology company has also been named a Most Loved Workplace®, Best Point of Sale Company, and a Top Fintech Startup by CB Insights. We use cutting-edge innovations in financial technology to bring leading data and features that allow individuals to be qualified instantly, making purchases at the point of sale fast, fair, and accessible for consumers from all walks of life. We create value focused on our core values; we work tirelessly to ensure that Sunbit becomes available to everyone, everywhere. We invite you to #UnleashYourCuriosity and join our ever-growing R&D organization. Check out the open positions & feel free to reach out with any questions! About the Role We use cutting-edge innovations in financial technology to bring leading data and features that allow individuals to be qualified instantly, making purchases at the point-of-sale fast, fair and easy for consumers from all walks of life. As part of our Data Engineering team, you will not only build scalable data platforms but also directly enable portfolio growth by supporting new funding capabilities, loan sales and securitization, and improving cost efficiency through automated and trusted data flows that evolve our accounting processes. Responsibilities Design and build data solutions that support Sunbit’s core business goals, from enabling capital market transactions (loan sales and securitization) to providing reliable insights for reducing the cost of capital. Develop advanced data pipelines and analytics to support finance, accounting, and product growth initiatives. Create ELT processes and SQL queries to bring data to the data warehouse and other data sources. Develop data-driven finance products that accelerate funding capabilities and automate accounting reconciliations. Own and evolve data lake pipelines, maintenance, schema management, and improvements. Create new features from scratch, enhance existing features, and optimize existing functionality. Collaborate with stakeholders across Finance, Product, Backend Engineering, and Data Science to align technical work with business outcomes. Implement new tools and modern development approaches that improve both scalability and business agility. Ensure adherence to coding best practices and development of reusable code. Constantly monitor the data platform and make recommendations to enhance&