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Lead Data Engineer
Lead Data EngineerBlend360 • Montevideo, MN, US
Lead Data Engineer

Lead Data Engineer

Blend360 • Montevideo, MN, US
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Overview

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 to contribute to our next level of growth and expansion.

Job Description

We're looking for a highly experienced MLOps Data Engineer with strong expertise in Python and Snowflake to support a strategic migration initiative for one of our enterprise clients. The client currently runs ML models on legacy platforms and is transitioning to a Snowflake-based infrastructure.

This role involves assessing existing ML models, migrating data workflows to Snowflake, and building robust pipelines for training and deployment. The ideal candidate will combine deep technical knowledge , hands-on pipeline development skills, and the ability to collaborate closely with both Blend and client teams.

  • Evaluate existing machine learning models built on legacy platforms.
  • Design and implement scalable data ingestion pipelines into Snowflake
  • Develop, train, and deploy ML pipelines using Python within Snowflake.
  • Collaborate closely with client teams and internal stakeholders to align on goals and technical requirements.
  • Ensure performance, reliability, and scalability of deployed pipelines.
  • Contribute to best practices and documentation throughout the migration process.

Qualifications

  • 5+ years of experience in data engineering and / or MLOps.
  • Strong hands-on experience with Python for data pipelines and ML workflows.
  • Deep expertise in Snowflake , including data modeling, performance tuning, and integration.
  • Proven experience migrating data workflows or ML models from legacy systems to modern cloud-based platforms.
  • Solid understanding of the MLOps lifecycle : model development, training, deployment, monitoring.
  • Experience working in client-facing roles or collaborative cross-functional environments.
  • Familiarity with cloud platforms (AWS, GCP, or Azure).
  • Excellent communication and documentation skills.

    • Preferred Qualifications

  • Experience using R for model development or statistical analysis (big plus).
  • Familiarity with Streamlit for building lightweight data apps (nice-to-have).
  • Experience with Snowpark, dbt, or modern data tooling.
  • Exposure to CI / CD tools and infrastructure-as-code practices.

    • 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?

    In order to thrive in this role, you must have at least 5+ years of experience in business intelligence or related field.

    Additional Information

    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.

    Diversity and Inclusion

    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.

    Next steps

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

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    Lead Data Engineer • Montevideo, MN, US