(1510) Senior Data Engineer

Join Nortal for your next big adventure. We are seeking a Data Engineer to join our team, grow with us, and teach us a few things along the way. 

Why join Nortal 

• Say Goodbye to Micromanagement: We champion autonomy, open communication, and respect for diversity as our core values. 

• Outcomes Over Hours: We believe in a work model focused on impact, providing you with the flexibility to balance your professional success with your personal well-being. 

• Vibrant Community: Join our close-knit LATAM remote team and connect through tech talks, virtual coffee breaks, and team-building activities. 
• Support from Day One: Our People Care team is here to support you throughout your journey, from wellness check-ins to professional growth. 

Our benefits ✨ 

• Competitive USD salary. 

• 100% remote work: While you can work from anywhere, you’re always welcome to connect with teammates and grow your network at our coworking spaces across LATAM. 

• Paid off & national holidays: Take the time you need according to your country’s regulations while receiving your full salary. 

• Sick leave: Focus on your health without stress. Take the necessary time to recover and feel better. 

• Annual credit: Spend it on the perks you love to enhance your work-life balance. 

• Team-building activities: Join us for coffee breaks, tech talks, and after-work gatherings to bond with your Nortal family and feel part of our vibrant community. 
• Birthday off: Enjoy an extra day off during your birthday week to celebrate in style with friends and family. 

About the project 

As a Data Engineer, you will work at the center of a high-visibility platform modernization effort, with the opportunity to shape how a large-scale data environment is re-architected for the next generation of analytics and data science workloads. This is hands-on, delivery-focused work with a clearly defined scope and timeline. 

What you’ll do 

• Migrate tables, views, and stored procedures from Redshift to Databricks with accuracy and minimal disruption to downstream consumers. 

• Build and support Databricks pipelines and jobs to replace existing Redshift-based workflows. 

• Validate migrated objects for data integrity, performance, and functional parity with legacy Redshift equivalents. 

• Collaborate with data governance and platform teams to ensure lineage, cataloging, and access controls carry over correctly to the new environment. 

• Troubleshoot and resolve migration issues across the data lake and warehouse layers. 

What makes you a great fit 🎯 

• Bachelor's Degree in Computer Science, Engineering, or a related field. 

• 6+ Years of experience working with core AWS services, including S3, Athena, and Glue. 

• 6+ Years of experience building, deploying, and supporting Databricks pipelines and jobs. 

• Strong data engineering background with hands-on experience in both Databricks and Redshift. 

• Solid understanding of data lake architectures and modern lakehouse design principles. 

• Knowledge of data governance and management practices, including data lineage, data catalogs, and role-based access controls. 
• Advanced English Level is required for this role, as you will work with US clients. Effective communication in English is essential to deliver the best solutions to our clients and expand your horizons.  

Global Impact, Local Culture 🌍 

For over 25 years, we’ve been shaping digital transformation, delivering complex solutions for global enterprises and public sector organizations. Today, we are at the forefront of an AI-driven transformation era, helping organizations turn data into real business value. By combining deep domain expertise with data and AI, we design solutions that create immediate impact while scaling for the future.   

We believe complexity doesn’t have to mean complicated, and that the best solutions are those that work in the real world, not just on paper. That’s why our clients trust us with their most ambitious, business-critical initiatives.  

Apply now and let’s shape the future of technology together! 🧑‍💻 

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