Lead Data Engineer
Access SystemsInternship
Mid-level (3 to 4 years), Senior (5 to 8 years)
Self Financial is a venture-backed, high-growth FinTech company with a mission to increase economic inclusion and financial resilience by empowering people to build credit and build savings. We're looking for people who share our passion and are driven to tackle challenges, find solutions and make the financial space better for the communities we serve.
Our team is passionate about challenging the status quo of the credit industry by providing people accessible tools to take control of their credit. Executing on our mission requires deep collaboration across our teams to ensure our products reach the people who can benefit from them the most, particularly the 100 million+ Americans who have no or low credit.
We celebrate diversity and are committed to creating an inclusive environment for all employees. To that end, we seek to recruit, develop and retain the most talented people from a diverse candidate pool.
Self Financial is a venture-backed, high-growth FinTech company who believes everyone should have the ability to improve their financial future. We exist to enable people to build credit, save money, and reach their goals.
Our teams aim to challenge the status quo of the credit industry by providing people the tools necessary to take control of their credit. Executing on our mission requires deep collaboration to ensure our products reach the 100 million+ Americans who have no or low credit.
As an Engineer on our Platform Engineering Teams you will be working at the very core of how we improve our credit-building products and services. You’ll be charged with ensuring that our amazing products and team members have the tooling, data, and integrations necessary to reach our goal.
At Self Financial, we love to put challenges into the hands of talented individuals to solve. Our teams are composed of skilled professionals, who work together in concert to innovate both our credit building services and the processes we organize around. We empower every individual of the Engineering Organization to bring their creativity and skills to these efforts. Our goal is to build both world class credit building products and to foster an exciting and engaging work environment. In short, at Self, you will carry influence.
As part of the Self Financial Data Engineering Team, your role will be to ensure that data remains a strategic asset for Self Financial by delivering timely, high-quality, and purpose-built data to our team members. Our team supports Self Financial's internal Analytics, Machine Learning, and Business Intelligence organizations.
The Senior Data Engineer is part of the Self Financial Data Engineering Team and operates as part of a cross functional product development team that includes Architecture, Infrastructure, and Product Management.
Your primary focus will be on designing and implementing our data model, as well as populating data schemas within Self Financial's data environment for use in business intelligence and data analysis activities.
Your day-to-day activities will include:
Online platform for credit score improvement
Self Financial helps individuals build or rebuild their credit scores through online services and a mobile app. Their main products are Credit Builder Loans and the Self Credit Card. A Credit Builder Loan is a small loan that is secured in a certificate of deposit (CD), where monthly payments are reported to credit bureaus to help establish a positive credit history. Once the loan is paid off, the borrower can access the funds in the CD, turning payments into savings. The Self Credit Card requires an upfront deposit and also reports monthly payments to credit bureaus. Unlike traditional credit unions, Self Financial operates entirely online, making it accessible to tech-savvy users and those without access to conventional banking. The goal of Self Financial is to help clients improve their credit scores, enabling them to qualify for loans and other financial products while generating revenue through fees associated with their services.