Senior Data Engineer (Remote)

Other
Salary: Competitive Salary
Job Type: Full time
Experience: Senior Level

Blend

Senior Data Engineer (Remote)

Senior Data Engineer | Blend | Uruguay

Company Description

Are you looking for an opportunity to jump-start your career ina thriving tech industry? Join us at Blend grow our business and executeour mission to help organizations leverage data and technology to make...

Senior Data Engineer | Blend | Uruguay

Company Description

Are you looking for an opportunity to jump-start your career in a thriving tech industry? Join us at Blend 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?

We are looking for a Senior Data Engineer to participate in a project that uses cutting-edge technologies like Large Language Models (LLMs), computer vision, and advanced data pipelines to revolutionize cost estimation for building projects.

You may work 100% remotely if you are currently living in LATAM, or you can always join us at the office!

Job Description

  • Designing and implementing LLM-based solutions for tasks such as blueprint interpretation and cost estimation.
  • Developing and optimizing computer vision models for processing architectural drawings and other visual inputs.
  • Fine-tune LLMs and build RAG systems for efficient data retrieval and contextual understanding.
  • Building, maintaining, and optimizing data pipelines using Azure.
  • Designing scalable solutions for integrating, processing, and storing diverse data types.
  • Support MLOps/DevOps processes to ensure seamless model deployment and monitoring.
  • Work closely with analysts, data scientists, and engineers to integrate models into production systems.
  • Provide mentorship and senior oversight to junior team members, ensuring high-quality deliverables.

Qualifications

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience).
  • Solid programming skills in Python.
  • Hands-on expertise in Cloud services and data pipeline development (Azure preferred, AWS and/or GCP are also valued).
  • Experience in LLMs (training, fine-tuning, or RAG) and/or computer vision projects.
  • Strong skills in DevOps/MLOps for deployment and monitoring of machine learning models.
  • Ability to work across disciplines, combining data engineering and data science.
  • Experience leading technical teams or mentoring junior staff is highly valued.

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?

  • We’re looking for someone with 5+ years of experience in similar roles.

Additional Information

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!

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Tagged as: remote, remote job, virtual, Virtual Job, virtual position, Work at Home, work from home

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