TALA

Senior Data Platform Engineer

Software Engineer

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At Tala, we are a global financial infrastructure company aiming to empower the global majority by providing instant, reliable liquidity through our proprietary data and AI/ML decisioning technology. We've disbursed over $7 billion in credit to 12 million customers. The Data Platform Engineering team builds the foundation for a best-in-class decision engine, enabling data scientists, ML engineers, and analytics teams to deliver insights at scale. This role involves designing, building, and evolving scalable data infrastructure, developing data pipelines, and championing best practices for DataOps and reliability.

Recruiter

<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">About Tala</h3>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!<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">The Role</h3>The Data Platform Engineering team is building the foundation for a best-in-class decision engine—empowering data scientists, machine learning engineers, and analytics teams to deliver insights and intelligence at scale.As a Data Platform Engineer, you’ll design, build, and evolve the infrastructure and tooling that enable our internal teams to move fast, work efficiently, and make data-driven decisions. You’ll collaborate closely with cross-functional partners to ensure reliability, scalability, and ease of use across the data ecosystem. You’ll also help guide backend and frontend teams in adopting an Event-Driven Data Mesh architecture, ensuring consistency and high-quality data flows throughout the organization.<h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">What You'll Do</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Design, build, and maintain scalable data infrastructure to power analytics, machine learning, and business intelligence use cases.</li><li class="leading-relaxed">Develop and evolve data pipelines and streaming systems using technologies like Kafka, Spark, AWS Kinesis, and Flink.</li><li class="leading-relaxed">Implement infrastructure as code using Terraform or CloudFormation across AWS, GCP, or Azure environments.</li><li class="leading-relaxed">Partner with Data Scientists, MLEs, and Analytics Engineers to ensure data accessibility, quality, and reliability.</li><li class="leading-relaxed">Champion best practices for DataOps, observability, and reliability within the data platform.</li><li class="leading-relaxed">Contribute to architectural decisions and help drive adoption of an Event-Driven Data Mesh across teams.</li></ul><h3 class="text-xl md:text-2xl font-bold mt-8 mb-3 text-gray-800">What You'll Need</h3><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">5+ years of experience in software engineering, with strong proficiency in Python.</li><li class="leading-relaxed">3+ years of experience building and maintaining streaming data systems (Kafka, Spark, AWS Kinesis, Flink).</li><li class="leading-relaxed">Proven experience deploying infrastructure as code using Terraform or CloudFormation.</li><li class="leading-relaxed">Background in a software or platform engineering environment, ideally supporting internal developer or data teams.</li><li class="leading-relaxed">Advanced degree in Engineering or a related technical field.</li><li class="leading-relaxed">Prior experience working remotely in a distributed team environment.</li></ul><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Preferred Experience (Nice to Have)</li><li class="leading-relaxed">Experience building and maintaining data lakes, ideally using Delta Lake or Apache Iceberg.</li><li class="leading-relaxed">Experience collaborating with Machine Learning Engineers or Data Scientists on Feature Store design and maintenance.</li><li class="leading-relaxed">Familiarity with SRE principles and DevOps/DataOps best practices.</li></ul>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.

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We are seeking talented Analog Mixed-Signal designers to join our high-speed SerDes team! Our team specializes in building next generation high-performance wireline transceivers delivering intellectual-property (IP) for Apple’s world-leading system-on-chip (SOC). In this role, you will actively work with cross-functional Analog Mixed-Signal design teams to create and execute on state-of-the-art IPs key to Apple’s products. You will be challenged to make the best-in-class designs to surprise and delight Apple customers. With redefining the user experience in focus, you will get an opportunity to work on designs which makes the best systems. This enables you to learn end-to-end system while exceeding the highest expectations of quality, innovation and efficiency. If you have strong fundamentals and a track record of tackling technical challenges, you are passionate about learning new skills and improving the value of your work, and you like to be tuned to the bigger-picture while diving deeply into the details to innovate and tackle problems- we invite you to join and grow with our team!You will work on the development of high-performance and high-speed AMS circuits used in SerDes PHY, including evaluation of different circuit topologies for specific product requirements (e.g., Rx, CDR, Tx, bias generator, high-speed clock generation and low-jitter distribution, high-speed analog signal chain, mixed-signal calibration and algorithms) with best in class power, performance, and area (PPA). You will work with cross-functional teams (e.g., architecture, SIPI, packaging, board design, DFT, ESD) to create block-level specifications and execute on transistor-level implementation and behavioral modeling. 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