Lead Data Engineer

Are you looking for an opportunity to jump-start your career in a thriving tech industry? Join us at Montevideo Labs | A Blend Company to grow our business and execute our mission to help organizations leverage data and technology to make better decisions. With over 10 years of experience in the field of big data, top US customers such as Mastercard, Tripadvisor, and Roku choose us to develop innovative products.

What is this position about?

As a Lead Data Engineer, you will be responsible for designing, building, and optimizing scalable data pipelines that power AI and analytics solutions for our clients. You will lead the architecture and deployment of data infrastructure, ensuring efficiency, reliability, and security across large-scale datasets, as well as being hands in the development process.  

• Design, develop, and maintain scalable ETL/ELT data pipelines for AI and analytics applications.
• Optimize data architectures and storage solutions using Databricks, Snowflake, and cloud-based platforms.
• Develop big data processing jobs using PySpark, Spark SQL, and distributed computing frameworks.
• Ensure data quality, governance, and security best practices across all environments.
• Implement CI/CD workflows for automated deployment and infrastructure as code (IaC).
• Collaborate with cross-functional teams (data scientists, software engineers, analysts) to build end-to-end data solutions.
• Lead troubleshooting and performance tuning efforts for high-volume data processing systems.
• Develop and maintain Python-based backend services to support data infrastructure.
• Implement Apache Airflow, Dataplane, or similar orchestration tools to automate and monitor workflows.

• Strong proficiency in SQL for data processing and transformation.
• Strong knowledge of object-oriented programming in at least one language (Python, Scala, or Java).
• Hands-on experience deploying and managing large-scale data pipelines in production environments.
• Expertise in workflow orchestration tools like Apache Airflow, Dataplane, or equivalent.
• Deep understanding of cloud-based data platforms such as Databricks and Snowflake.
• Knowledge of CI/CD pipelines and infrastructure as code for data workflows.
• Familiarity with cloud environments (AWS preferred, Azure, or GCP) and cloud-native data processing.
• Expertise in Spark, PySpark, and Spark SQL, with a solid understanding of distributed computing frameworks.
• Proven ability to lead projects and mentor junior engineers in a fast-paced, collaborative environment.

What about languages?

Excellent written and verbal English for clear and effective communication is a must!

How much experience must I have?

We're looking for someone with 6+ years of experience working as a Data Engineer or related positions.

Our perks and benefits:
Every day lunches! (headquarters)

• Vegetarian, vegan, gluten and sugar free options.
• Gourmet meals every Friday with our on-site chef!

 Flexible working options to help you strike the right balance.
 All the equipment you need to harness your talent (Macbook and accessories).
Snacks and beverages available everyday (headquarters).
After office events, football, tennis and game nights (headquarters).

• Everyone is welcome to join our football league every Wednesday’s and Friday’s.
• Challenge your teammates to a pool game and win the office’s trophy!
• Tennis courts available for friendly matches.
• You are not a sports person? Don’t worry, we also have chess championships, game and music nights for you to join!

 Learning opportunities:

• AWS Certifications (we are AWS Partners).
• Study plans, courses and other certifications.
• English Lessons.
• Learn from your teammates on our Tech Tuesdays!

 Mentoring and Development opportunities to shape your career path.
 Anniversary and birthday gifts.
 Great location and even greater teammates!

So what are the next steps?
Our team is eager to learn about you! Send us your resume in english or LinkedIn profile below and we’ll explore working together!