--- title: 'Senior Data Engineer at Tala' canonical: 'https://feeny.ai/job/senior-data-engineer-tala-united-states-n1vt1y5jqahm' type: 'job' last_seen: '2026-11-07' --- # Senior Data Engineer at Tala - **Company:** Tala - **Location:** United States - **Compensation:** $130k–$200k - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-11-04 - **Last confirmed live:** 2026-11-07 - **Apply:** https://jobs.lever.co/tala/33ca67b7-5c2c-4474-b435-64f251059af1 ## Job description ## About Tala Tala is the AI-native credit infrastructure that connects global capital to the global majority.  We combine proprietary risk intelligence with an expanding network of capital and distribution partners to power credit access at scale. To date, Tala has distributed more than $9 billion in capital to more than 14 million customers across Africa, Latin America, and Asia, building the definitive contextual dataset on thin-file borrowers in emerging markets. Tala is now converting that foundation into shared infrastructure that partners, capital providers, and ecosystems can build on. The company has been named to the Fortune Impact 20 list, CNBC’s World’s Top Fintech Companies twice, CNBC Disruptor 50 for five years, and Forbes’ Fintech 50 list for ten years running. 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 We are looking for aSenior Data Engineer to help build, operate, and continuously improve the data infrastructure that powers analytics and business intelligence across Tala's global markets. In this individual contributor role, you will take ownership of Tala's data synchronization pipelines, ensuring that data from our market-level databases is reliably captured, processed, and delivered to Snowflake for downstream analytics and business use. Our data infrastructure uses a modern AWS-based architecture, including AWS Database Migration Service (DMS), Kafka, Spark Structured Streaming, Apache Iceberg, Amazon S3, and Snowflake. You will work across this ecosystem to ensure data is accurate, available, and delivered with minimal latency. Beyond maintaining existing pipelines, you will identify opportunities to improve performance, scalability, reliability, and cost efficiency. You will also establish and monitor service level objectives (SLOs), strengthen testing and deployment practices, and lead root cause analysis when issues arise. This is an opportunity for a hands-on engineer who enjoys solving complex distributed data challenges and takes ownership of production systems from development through operation. ## What You'll Do - Own and operate data pipelines: Maintain and improve Tala's change data capture (CDC) and data synchronization infrastructure, ensuring accurate and timely delivery of data from market-level databases into Snowflake. - Improve pipeline performance and scalability: Identify and implement improvements to reduce latency, optimize infrastructure costs, and support growing data volumes across markets. - Build and evolve data infrastructure: Onboard new data sources, tables, and markets while managing schema evolution and ensuring compatibility across systems. - Drive reliability and data quality: Establish service level objectives (SLOs), implement monitoring and alerting, and build automated data quality checks to ensure data remains accurate and available. - Strengthen engineering practices: Develop and maintain unit and integration tests, CI/CD workflows, infrastructure-as-code, and safe deployment strategies, including dry runs and blue-green deployments. - Lead incident resolution: Troubleshoot production issues, conduct root cause analyses, and translate lessons learned into better monitoring, testing, documentation, and operational runbooks. - Contribute to technical direction: Participate in architecture and design discussions, write and review technical design documents, and provide thoughtful feedback through code reviews. - Collaborate across teams: Partner with Data Science, Analytics, Data Platform, Product, Credit, and Business Development teams to understand their data needs and ensure reliable access to the information they depend on. ## What You'll Need - 4+ years of experience in backend engineering or data engineering, ideally supporting consumer-scale applications. - At least 2 years of hands-on professional Python experience. - Proven experience independently building, operating, and improving production-grade data pipelines. - Hands-on experience with change data capture (CDC) and stream processing technologies such as Kafka, Amazon MSK, AWS DMS, or comparable tools. - Strong proficiency in Apache Spark, particularly Spark Structured Streaming. - Experience with modern data lakehouse architectures and table formats such as Apache Iceberg, Delta Lake, or Apache Hudi, as well as Parquet. - Strong database experience across relational and analytical systems, including MySQL, PostgreSQL, Amazon RDS, and Snowflake. - Hands-on experience with AWS cloud infrastructure, ideally including EMR, S3, MSK, DMS, RDS, and EKS. - Experience with infrastructure-as-code and CI/CD tools such as Terraform, Terragrunt, Helm, and Jenkins. - Familiarity with pipeline orchestration and job scheduling tools such as Airflow or Python-based services running on Kubernetes. - Strong understanding of distributed systems, scalable algorithms, and large-scale data processing. - Ability to communicate complex technical concepts clearly and collaborate effectively with engineering teams and business stakeholders. ## Nice to Have - Experience with Trino or Presto. - Experience with Kubernetes and containerized applications. - Familiarity with AWS Glue. - Experience with additional stream processing technologies such as Debezium, Amazon Kinesis, or Apache Flink. - Experience with other modern data lakehouse technologies such as Delta Lake or Apache Hudi. - Advanced degree in Computer Science, Mathematics, or a related technical field. 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. ## About Tala ## Company Overview - **One-liner**: Tala is a digital financial services company that provides instant credit, payments, savings, and transfer services to thin-file borrowers in emerging markets, using proprietary AI-native risk intelligence. - **Entity Type**: Private (Funding Stage: Late Stage / Series Unknown) - **Headquarters**: Santa Monica, California, United States - **Founded**: 2011 - **Founders**: Shivani Siroya ## Core Business - **Primary Industry**: Financial Services / Fintech - **Target Customers**: B2C (individuals and micro-entrepreneurs in emerging markets, primarily women), B2B (partners and capital providers licensing Tala’s credit infrastructure) - **Mission/Purpose**: To build a more just and equitable future by unlocking global economic progress for the "Global Majority"—the billions of people underserved by traditional financial systems. ## Products & Services - **Tala Money App**: A mobile-first platform offering instant access to credit (loans typically $10–$500), payments, savings, and transfer services. Available in Kenya, the Philippines, Mexico, and India. - **Tala Credit Infrastructure (Platform)**: An AI-native, API-driven underwriting engine built on a decade of behavioral lending data. Tala is opening this infrastructure to partners, platforms, and capital providers to power credit access at scale beyond its own app. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed (Private company). - **Key Metric**: Total Funding of **$540.6M** raised across 12 rounds. - **Annual Revenue**: **$110M** (latest estimate). - **Notable Investors/Partners**: Upstart, Stellar Development Foundation, RPS Ventures, J. Safra Group, IVP, Revolution Growth, Lowercase Capital, and PayPal Ventures. - **Growth Signals**: - Deployed over **$8 billion** in capital to more than **14 million customers** to date. - Workforce of **465 employees** (+11.1% YoY), with offices in Santa Monica, Nairobi, Manila, Mexico City, and Bangalore. - Named to **Fortune’s Impact 20**, **CNBC’s Disruptor 50** (five consecutive years), and **Forbes’ Fintech 50** (nine consecutive years). - Transitioning from a single-app model to an open infrastructure platform for partners, signaling a major strategic pivot and expansion opportunity. ## Competitive Advantages - **Proprietary AI-Native Underwriting**: Built from the ground up for thin-file borrowers in informal economies, not retrofitted from legacy credit models. This gives Tala a unique, decade-deep behavioral dataset. - **First-Mover & Scale**: A decade of lending data across three continents (Africa, Latin America, Asia) creates a significant data moat that is hard for competitors to replicate. - **Strategic Pivot to Infrastructure**: By opening its credit intelligence to partners and capital providers, Tala moves from a customer-facing app to a shared infrastructure layer, vastly expanding its addressable market and defensibility. ## Strategic Focus - **Platform Expansion**: Converting its proprietary data, models, and customer relationships into shared infrastructure for third-party partners and capital providers. - **Market Penetration**: Deepening reach in existing markets (Kenya, Philippines, Mexico, India) and expanding the product suite beyond credit into payments, savings, and transfers. - **Regulatory & Partnership Growth**: Securing licenses (e.g., licensed digital credit provider by the Central Bank of Kenya) and forming partnerships (e.g., with Mexico’s CONDUSEF, Philippines’ Bayad Center) to build trust and scale. ## Why Work Here - **Mission-Driven**: The company is explicitly focused on financial inclusion for the "Global Majority," offering a strong sense of purpose. - **Remote-First & Flexible**: Tala is remote-first with flexible working hours and unlimited PTO. They offer "Sloth Days" and sabbaticals are a norm. Offices exist for in-person collaboration in Nairobi, Mexico City, Manila, Santa Monica, and Bangalore. - **Invested in Growth**: The company emphasizes continued learning and development, and provides space and support for employees to take their skills to the next level. - **Global Team**: A diverse, global workforce (14 countries) that reflects the diversity of its customers. - **Strong Culture Ratings**: Employer rating of **4.0/5.0** on LinkedIn (222 reviews), with high marks for Work-Life Balance (4.2) and Compensation (4.1). - **Engineering Culture**: Technical staff makes up ~25% of the workforce (118 out of 465). The company is building a cutting-edge AI-native credit infrastructure, offering challenging engineering problems. ## Sources 1. [tala.co](https://tala.co/about/) 2. [tala.co](https://tala.co/careers/) 3. [linkedin.com](https://linkedin.com/company/talamobile) 4. [en.wikipedia.org](https://en.wikipedia.org/wiki/Tala_Finance) 5. 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