(1457) Senior Data Engineer

Join Nortal for your next big adventure. We are seeking a Senior 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.

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.

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) .

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 .