Data Engineer, Technical Referent

September 19

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dLocal

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Fintech • eCommerce

dLocal is a payment solutions platform that connects global merchants with consumers in emerging markets. The company offers a variety of services including payins, payouts, and real-time fraud management to enhance payment processes for businesses. As a Nasdaq-listed company, dLocal supports transactions in over 40 countries, enabling local payment methods and currencies for billions of emerging market consumers. dLocal’s platform simplifies cross-border payments, providing a comprehensive solution for eCommerce, shared economy, digital media, financial services, and more, with an emphasis on high-growth markets such as Africa, Asia, and Latin America.

201 - 500 employees

Founded 2016

💳 Fintech

🛍️ eCommerce

💰 $150M Venture Round on 2021-04

📋 Description

• Architect and evolve scalable infrastructure to ingest, process, and serve large volumes of data efficiently • Lead improvements to existing frameworks and pipelines to ensure performance, reliability, and cost-efficiency • Establish and maintain robust data governance practices that empower cross-functional teams to access and trust data • Transform raw datasets into clean, usable formats for analytics, modeling, and reporting • Investigate and resolve complex data issues, ensuring data accuracy and system resilience • Maintain high standards for code quality, testing, and documentation, with a strong focus on reproducibility and observability • Stay current with industry trends and emerging technologies to continuously raise the bar on our engineering practices • Act as a go-to expert: mentor other engineers and influence architectural and technical decisions across the company

🎯 Requirements

• Bachelor’s degree in Computer Engineering, Data Engineering, or related technical field • Proven experience in data engineering or backend software development, ideally in cloud-native environments • Deep expertise in Python and SQL • Strong experience with distributed data processing frameworks such as Apache Spark • Solid understanding of cloud platforms (AWS and GCP) • Strong analytical thinking and problem-solving skills • Able to work autonomously and collaboratively, balancing hands-on work with technical leadership • Nice to have: Experience designing and maintaining DAGs with Apache Airflow or similar orchestration tools • Nice to have: Familiarity with modern data formats and table formats (e.g., Parquet, Delta Lake, Iceberg) • Nice to have: Master’s degree in a relevant field • Nice to have: Prior experience mentoring engineers and influencing architectural decisions at scale

🏖️ Benefits

• Remote work: work from anywhere or one of our offices around the globe!* • Flexibility: we have flexible schedules and we are driven by performance. • Fintech industry: work in a dynamic and ever-evolving environment, with plenty to build and boost your creativity. • Referral bonus program: our internal talents are the best recruiters - refer someone ideal for a role and get rewarded. • Learning & development: get access to a Premium Coursera subscription. • Language classes: we provide free English, Spanish, or Portuguese classes. • Social budget: you'll get a monthly budget to chill out with your team (in person or remotely) and deepen your connections! • dLocal Houses: want to rent a house to spend one week anywhere in the world coworking with your team? We’ve got your back! • Tailored benefits per country and company mentions of travel, health and learning benefits.