Analytics Engineer

Blend360

Analytics Engineer implementing curated data model layers and dbt testing strategies at Blend. Contributing to data quality and collaboration efforts for high-volume domains.

Posted 5/19/2026full-timeRemote • 🇦🇷 ArgentinaMid-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

📚 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.

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Hard Skills & Tools

dbtSQLdata modelingdimensional modelingincremental modelsdata testing strategiesPythondata engineeringperformance optimizationdata quality

Soft Skills

communicationcollaborationcross-functional teamworktechnical concept explanation