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A leading financial technology company in Mexico is seeking a Data Engineer to innovate and maintain data infrastructure. The role involves developing data pipelines, ensuring data accuracy, and contributing to financial inclusion. Join a passionate team focused on democratizing credit access for underbanked consumers.
Stori is a fast-growing, venture-backed financial technology company, on a mission to democratize credit access for 400 million underbanked LatAm consumers. Stori currently operates in Mexico and has a global team with offices in Arlington, Virginia, Mexico City, and Asia. We have quickly established ourselves as one of the top digital banks in Mexico, with more than two million applicants for our credit card product since launch.
Stori is among the top-funded startups in the region, having raised US$250 million to date. We are backed by leading global venture capital funds such as GGV Capital, GIC, Lightspeed Venture Partners, General Catalyst, Goodwater Capital, Tresalia Capital, Vision Plus Capital, BAI Capital, and Source Code Capital. These investors have also supported successful startups like Affirm, Airbnb, Alibaba, Stripe, and TikTok.
Our founder team brings over 100 years of combined experience in consumer finance, banking, and technology, with backgrounds at Mastercard, Intel, Capital One, Morgan Stanley, GE Capital, and HSBC across the U.S., Mexico, and Asia. They have launched and managed multi-million-customer credit card products worldwide, providing valuable expertise to our team.
We value diversity in background, experience, and thinking. Our culture promotes a flat organizational structure and an inclusive environment where all employees can be authentic and have opportunities for professional growth. We are passionate about our mission and proud of the products we build.
As a Data Engineer at Stori, you will leverage advanced data pipeline and management tools to innovate, design, build, and maintain our data infrastructure. You will develop data pipelines to load and transform raw data from various sources into our data lake and analytical warehouse, monitor data movement for completeness and accuracy, and develop source system data infrastructure.