Data and Insight Engineer - Work from home

Join Nortal for your next big adventure. We are seeking a Data and Insight 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 Data and Insight Engineer, you will have a strong background in working with diverse data sets, expertise in data collection methodologies, and a proven track record in data cleaning and transformation. As a Data Engineer, you will play a pivotal role in ensuring the accuracy, reliability, and accessibility of our data, enabling the organization to derive meaningful insights and make informed decisions. Familiarity with data platforms such as AEP, Google Cloud, and AWS, along with proficiency in Python and AI, will be crucial for success in this role. Knowledge of Snowflake and Airflow is highly desired.
What you’ll do:
Collaborate with cross-functional teams to understand data requirements and objectives.
Develop and maintain efficient data pipelines for data collection, processing, and cleaning.
Utilize your expertise in Python and AI to enhance data processing and analysis capabilities.
Work with platforms such as AEP, Google Cloud, and AWS to manage and optimize data infrastructure.
Explore and implement best practices for data quality, integrity, and security.
Collaborate with stakeholders to identify and address data-related challenges.
Stay current with industry trends and emerging technologies in data engineering.
What makes you a great fit:
Bachelor's Degree in Computer Science, Engineering, or a related field.
5+ Years of experience working with Python (Data manipulation, scripting, and automation).
5+ Years of experience working with Datasets and Data Collection.
3+ Years of experience working with Cloud (at least one: AWS, GCP, or AEP).
2+ Years of experience working with Artificial Intelligence.
2+ Years of experience working with Airflow and Snowflake.
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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Work arrangement
Yes