Data Engineer Manager

We’re looking for a skilled Data Engineer with experience in MLOps, Python, and Snowflake to support a strategic migration initiative for one of our enterprise clients. The client is currently moving ML models from legacy platforms to a Snowflake-based infrastructure.

In this role, you’ll help assess existing models, migrate data workflows, and build robust pipelines for model training and deployment. You’ll work closely with Blend’s internal teams and client stakeholders to ensure seamless execution.

This is a hands-on role ideal for professionals with solid technical foundations who are looking to deepen their experience in MLOps and modern data platforms.

You will:

• Support the evaluation of existing ML models built on legacy platforms.

• Help design and implement data ingestion pipelines into Snowflake.

• Assist in developing, training, and deploying ML workflows using Python within Snowflake.

• Collaborate with cross-functional teams to align on technical requirements and timelines.

• Ensure reliability and performance of pipelines under the guidance of senior engineers.

• Contribute to documentation and continuous improvement of engineering processes.

• +5 years of experience in data engineering and/or MLOps.

• Proficiency in Python for building data pipelines and ML workflows.

• Experience with Snowflake (or similar cloud data platforms).

• Familiarity with the MLOps lifecycle: model training, deployment, and monitoring.

• Exposure to cloud platforms like AWS, GCP, or Azure.

• Comfortable working in collaborative environments and adapting to evolving client needs.

• Strong communication and documentation skills.

Preferred Qualifications

• Experience with Streamlit, dbt, or Snowpark (nice to have).

• Understanding of CI/CD processes or infrastructure-as-code tools.

• Experience working in client-facing or consultancy-style environments.

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

How much experience must I have?
You should have at least 2+ years of hands-on experience in data engineering, MLOps, or related fields.

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. 

👩‍🏫 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. 

A diverse workforce is a strong workforce  
To deliver growth at BLEND360 and for our clients, we believe we have a responsibility and unique opportunity to positively impact the workforce. Diversity has played a critical role in our history, our growth, and continues to have a profound impact on our success.  We are determined to have equality in the workplace, within our team and as an extension of our clients’ team.   

So what are the next steps?  

Our team is eager to learn about you! Send us your resume or LinkedIn profile below and we’ll explore working together!