Staff Data Engineer

Kueski, Inc.

Job Overview

Location

LATAM (remote)

Job Type

Full-time

Full Job Description

📋 Description

• Lead the technical strategy, architecture, and long-term roadmap for Kueski’s data platform, aligning with company objectives and scaling to support Mexico’s top e-commerce merchants.
• Design and deliver large-scale, complex data initiatives spanning batch and streaming systems, from ambiguous problem definition through stable production deployment.
• Architect robust, scalable data systems that enable AI-centric workflows, including implementation of AI-adjacent infrastructure such as MCP Server and RAG.
• Establish and champion data engineering standards, methodologies, and best practices across the team and department to ensure technical excellence and platform reliability.
• Develop and own CI/CD pipelines and infrastructure-as-code (IaC) for automated, reliable data platform operations.
• Drive data quality, observability, and governance programs across the entire data platform to ensure trusted, self-service data consumption.
• Apply advanced data cleansing techniques to improve data usability and quality for downstream analytics and machine learning teams.
• Design and implement modern data architectures including medallion layer, data lakehouses, and data product patterns.
• Leverage deep expertise in Apache Spark to optimize distributed data processing workflows and performance at scale.
• Partner cross-functionally with Data Science, Machine Learning, Analytics, Platform, and Product teams to deliver end-to-end data-driven solutions.
• Represent Data Engineering in cross-organizational initiatives and lead efforts beyond core team responsibilities.
• Mentor and coach Data Engineers at all levels through code reviews, pairing sessions, and technical guidance to elevate team quality and capability.
• Identify limitations in existing tools or processes and lead the design and build of new capabilities when current solutions are insufficient.
• Maintain strong command of Python and SQL; leverage Scala/Java as needed for performance-critical components.
• Utilize cloud data platforms such as AWS and Google Cloud, with hands-on experience in Databricks for large-scale data processing.
• Apply data modeling practices including star schemas and dimensional modeling to support analytical and reporting needs.
• Uphold software design patterns, SDLC best practices, and non-functional requirements (scalability, latency, fault tolerance) in all data system designs.
• Contribute to Kueski’s culture of innovation, collaboration, and ethical business practices as a technical leader in a diverse and inclusive workplace.

🎯 Requirements

• Deep expertise in data engineering at scale, including architecture design, performance optimization, and production operations
• Proven leadership in delivering large-scale, complex data platform initiatives from ambiguous scoping through stable production
• Expert-level programming in Python and strong SQL fundamentals; experience with Scala/Java is a plus
• Extensive experience designing and building production-grade batch and near-real-time data pipelines using Apache Spark
• Proven experience implementing CI/CD pipelines and infrastructure-as-code (IaC) for data workloads
• Experience with AI-enabled tools and AI-adjacent infrastructure such as MCP Server and RAG

🏖️ Benefits

• Opportunity to work with Latin America’s leading BNPL and online consumer credit platform
• Recognition as one of the World’s Top FinTech Companies by CNBC
• Certified as a Best Place to Work for LGBTQ+ Equality by HRC Equidad MX 2025
• Ranked among the Best Companies for Female Talent by EFY
• Inclusive, diverse, and collaborative workplace culture
• Ethical business practices recognized by AMITAI

Skills & Technologies

Python

TypeScript

Java

Scala

AWS

Senior

Remote

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Kueski, Inc.

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About Kueski, Inc.

Mexico-based fintech that underwrites and disburses unsecured consumer loans through its online platform, using alternative data and machine-learning models to assess credit risk for underbanked individuals. Founded in 2012, it provides instant micro-loans paid via SPEI, buy-now-pay-later checkout financing for e-commerce merchants, and employee salary-advance products. Operations span Mexico and select Latin American markets, partnering with retailers and payroll systems to embed lending at the point of sale.

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