Data Engineer

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 are seeking a Data Engineer to contribute to our next level of growth and expansion. 

You will be part of the Data Engineering team but will work supporting the Data Science team. Your role will be to help them by delivering clean, reliable, and automated data processes that support financial decision-making.

If you're based in Argentina you can work 100% remotely. If you're located in Montevideo you also have the option to work from our local office.

• Receive granular transaction data and transform it into aggregated data cuts.
• Clean, transform, validate, and upload financial data into Snowflake.
• Run and improve Python scripts that generate financial cuts, with a strong reliance on Pandas and SQL.
• Write, edit, and optimize SQL queries to support reporting and analysis.
• Automate manual workflows.
• Support the migration of workflows from Airflow to Prefect.
• Create and maintain schemas in Snowflake for new tables.
• Handle ad-hoc Finance requests, sometimes with short deadlines.
• Collaborate in meetings with Data Science and Data Engineering teams, contributing to process improvements and decision-making.

• Strong experience with Python, SQL, and Pandas.
• Highly comfortable with complex data transformations
• Ability to use and debug large internal code libraries
• Hands-on experience with ETL pipelines and data cleaning.
• Familiarity with Snowflake (SQL knowledge is key; direct Snowflake experience is a plus).
• Experience with DBT is highly valued, but not required (processes are expected to migrate there in the future).
• Familiarity with Git.
• Basic knowledge of AWS.
• Experience migrating or maintaining workflow orchestration tools (Airflow, Prefect).
• Strong analytical skills with a background in data analysis.
• Ability to handle ad-hoc requests and deliver results under tight deadlines.
• Strong problem-solving skills and autonomy to propose and implement improvements.

What about languages?  

You will need excellent written and verbal English for clear and effective communication with the team.  

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.