Senior Data Engineer

Summary

Join dLocal, a global payments company, as a Senior Data Engineer and shape the foundation of our data platform. Design and evolve scalable infrastructure, ensuring data assets are clean, reliable, and accessible. Lead improvements to existing frameworks and pipelines, establish robust data governance practices, and transform raw datasets into usable formats. Mentor other engineers and influence architectural decisions. This role requires a Bachelor's degree in a related field, proven data engineering or backend software development experience, expertise in Python and SQL, and strong analytical skills. dLocal offers remote work, flexible schedules, a referral bonus program, learning and development opportunities, language classes, a social budget, and dLocal Houses.

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 (GCP preferred)
• Strong analytical thinking and problem-solving skills
• Able to work autonomously and collaboratively, balancing hands-on work with technical leadership

Responsibilities

• 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

Preferred Qualifications

• Experience designing and maintaining DAGs with Apache Airflow or similar orchestration tools
• Familiarity with modern data formats and table formats (e.g., Parquet, Delta Lake, Iceberg)
• Master’s degree in a relevant field
• 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!