Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
JobTailor Logo

See all jobs on JobTailor

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Blend360

Analytics Engineer

Blend360

Analytics Engineer implementing and optimizing data models in dbt for a premier AI services provider. Fostering collaboration and innovation through data science and analytics.

Posted 5/19/2026full-timeRemote • 🇺🇾 UruguayMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
Amazon RedshiftAWSCloudPythonSQL

About the role

Key responsibilities & impact
  • Implement the curated data model layer in dbt across 18 data domains, working closely with the Onshore Analytics Engineering Lead.
  • Design and build dbt models across the full layered architecture: staging, intermediate, and mart layers.
  • Implement comprehensive dbt testing strategies, including unique, not_null, accepted_values, relationships, and custom tests to ensure data quality and reliability.
  • Develop and optimize incremental models to handle high-volume domains processing billions of events efficiently.
  • Generate and maintain thorough project documentation, including column descriptions and lineage graphs, to support transparency and team collaboration.

Requirements

What you’ll need
  • Advanced proficiency in dbt, including model development, testing frameworks, macros, and incremental strategies.
  • Expert-level SQL skills, with strong ability to write performant, maintainable queries across large datasets.
  • Solid understanding of data modeling principles, including dimensional modeling and layered architecture best practices.
  • Hands-on experience with AWS data services, particularly Athena and Redshift Serverless.
  • Working knowledge of Python for data engineering tasks and pipeline support.
  • Ability to work cross-functionally across multiple data domains and communicate technical concepts clearly to stakeholders.
  • English: Advanced (required for effective communication with global teams).
  • 3+ years of experience in Analytics Engineering or Data Modeling roles, with hands-on expertise building layered dbt pipelines and working with cloud-based analytical data platforms.

Benefits

Comp & perks
  • 🍽️ 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.
  • 🎮 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!

ATS Keywords

✓ Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
dbtSQLdata modelingdimensional modelingincremental modelsdata testing strategiesPythondata pipeline supportperformance optimizationdata quality
Soft Skills
communicationcollaborationcross-functional teamworktechnical concept explanation