Data Platform Engineer I

About Tala

At Tala, we're applying advanced technology and human creativity to solve what legacy institutions can't or won't. We are a global financial infrastructure company on a mission to unleash the economic power of the global majority, recognizing that today's financial infrastructure doesn't work for most of the world's population.

We're the first and only platform to combine the intelligence of a credit bureau, the payments execution of a fintech, and the relationship expertise of a bank into one vertically integrated solution. Our platform is powered by an expansive moat of proprietary data and AI/ML decisioning technology, enabling us to deliver instant, reliable liquidity personalized to every customer's needs. Through our flagship credit app, we've disbursed over $7 billion in credit to more than 12 million customers across Latin America, Southeast Asia, and East Africa. These customers have leveraged Tala products to start and expand small businesses, manage day-to-day needs, and pursue their financial goals.

Our pioneering work and proven impact have earned us consistent recognition, including being named to:

CNBC's Disruptor 50 for five years.

CNBC's World's Top Fintech Companies for two consecutive years.

Forbes' Fintech 50 list for nine consecutive years.

Visionary investors, persuaded by the economic power of the global majority, have committed half a billion dollars in equity and debt to Tala's success.

Given the global nature of our team, we operate on a remote-first approach with office hubs in Santa Monica, CA (HQ); Nairobi, Kenya; Mexico City, Mexico; Manila, the Philippines; and Bangalore, India.

Most Talazens join us because they connect with our mission. If you are energized by the impact you can make at Tala, we'd love to hear from you

The Role

The Data Platform Engineering team is building the infrastructure to support a best-in-class decision engine. The role requires excellent communication to collaborate with our key partners- Machine Learning Engineers, Data Scientists, and Analytics Engineers. The Data Platform Engineering team serves these internal clients by setting up, maintaining, and evolving, infrastructure and tooling that they can leverage to do their jobs then. Finally, the team advises backend and frontend teams to adopt the Event-Driven Data Mesh paradigm.

• Serve internal clients by setting up, maintaining, and evolving, infrastructure
• Work collaboratively with QA, Product, and Business teams to identify project needs and negotiate scopes of work
• Understand project goals clearly and grasp how they fit into the larger scope of our business.

• Experience working on software engineering, using Python
• Experience with Git

Our vision is to build a new financial ecosystem where everyone can participate on equal footing and access the tools they need to be financially healthy. We strongly believe that inclusion fosters innovation and we're proud to have a diverse global team that represents a multitude of backgrounds, cultures, and experience. We hire talented people regardless of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.