Data Engineer - Work from home

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 time 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 Senior Data Engineer, you will play a key role in designing, building, and scaling modern data platforms that enable advanced analytics, experimentation, and AI-driven decision-making. You will work in a highly collaborative environment, partnering closely with product, analytics, and engineering teams to transform complex business and user behavior into reliable, well-structured datasets.

What you’ll do:

• Design, build, and maintain scalable data pipelines end-to-end (ingestion, transformation, and serving layers).
• Translate business KPIs and analytical requirements into production-ready datasets for analytics and AI use cases.
• Develop and optimize data models using modern approaches such as Bronze/Silver/Gold layered architecture.
• Own and evolve key components of a Lakehouse platform based on technologies like Databricks and Spark.
• Build and maintain high-quality, production-grade datasets to support analytics, reporting, and machine learning.
• Establish and enforce data engineering standards, reusable frameworks, and best practices across teams.
• Ensure data quality and reliability through validation, monitoring, alerting, and SLA management.
• Productionize and scale analytical prototypes into robust, maintainable data pipelines.
• Collaborate with cross-functional teams to support product analytics, experimentation, and user behavior tracking.
• Improve pipeline performance and optimize query efficiency at scale.
• Support secure and governed data access patterns for analytics and AI applications.
• Provide technical guidance and mentorship to junior engineers.

What makes you a great fit:

• Bachelor's Degree in Computer Science, Engineering, or a related field.
• Strong experience building and operating data pipelines using SQL and Python in cloud environments.
• Deep expertise in SQL, including query optimization and performance tuning on large datasets.
• Hands-on experience with Databricks, Apache Spark, or similar distributed processing frameworks.
• Solid understanding of modern data architecture patterns, including Lakehouse, ELT, and layered data models.
• Proven experience designing scalable data models for analytics (dimensional or domain-oriented).
• Experience improving data engineering practices such as schema design, migrations, and pipeline optimization.
• Strong ownership mindset with the ability to deliver solutions in fast-paced or low-structure environments.
• Experience building reusable data frameworks and driving standardization across pipelines.
• Expertise in monitoring, debugging, and maintaining production data systems.
• Experience working closely with business stakeholders to translate ambiguous requirements into technical solutions.
• Familiarity with CI/CD pipelines and version-controlled data workflows.
• Experience working with product analytics data (event tracking, experimentation) is a plus.
• Proven track record of delivering end-to-end data solutions from concept to production.
• 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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