Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com  

We’re looking for a Data Engineer to support a high-impact initiative focused on building and scaling data pipeline volume, including transformations, data quality validation, testing, and supporting infrastructure.

This role is ideal for hands-on engineers who are passionate about ETL development, data quality, and scalable data processing, and who are excited to leverage AI-assisted development to accelerate delivery and improve code efficiency.

What will you be doing?

• Build and scale data pipelines and supporting infrastructure on AWS
• Develop and implement data transformations, including:
• Design and configure AWS Glue jobs, Spark transformations, and Python-based ETL pipelines
• Write and maintain integration tests to validate data movement across raw → staged zones
• Implement data quality frameworks, including:
• Ensure data reliability, consistency, and performance across pipelines
• Collaborate with cross-functional teams to improve data architecture and processes
• Leverage AI-assisted development tools to generate boilerplate code (60–70%) and accelerate development cycles

What are we looking for?

• 3+ years of experience in Data Engineering
• Strong experience with AWS ecosystem (Glue, S3, Athena)
• Hands-on experience with Python and PySpark
• Strong hands-on experience with Snowflake (Plus)
• Strong proficiency in SQL
• Solid experience in ETL development and data pipeline architecture
• Experience implementing data quality frameworks and validation processes
• Familiarity with integration testing for data pipelines
• Experience using AI code generation tools (Plus)

Our Perks and Benefits: 

📚 Learning Opportunities: 

• Certifications in AWS (we are AWS Partners), Databricks, and Snowflake. 

• Access to AI learning paths to stay up to date with the latest technologies. 

• Study plans, courses, and additional certifications tailored to your role. 

• Access to Udemy Business, offering thousands of courses to boost your technical and soft skills. 

• English lessons to support your professional communication. 

🛫 Travel opportunities to attend industry conferences and meet clients. 

👩‍🏫 Mentoring and Development: 

• Career development plans and mentorship programs to help shape your path. 

🎁 Celebrations & Support: 

• Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones. 

• Company-provided equipment.  

⚖️ Flexible working options to help you strike the right balance.    

Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location, please consult with one of our recruiters.