Semi Senior Data Enginer

RyzLabs

Buenos Aires Remote permanent

Posted: February 20, 2026

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Quick Summary

This role involves building scalable data pipelines and analytics-ready models for our clients, working closely with US-based customers to deliver high-quality solutions.

Required Skills

BigQuery Snowflake dbt Python SQL ELT pipelines data modeling data quality Pipeline Intelligence code reviews

Job Description

At Ryz Labs, we are looking for a Semi Senior Data Engineer to join one of our clients' teams. The gol of this role is to build and maintain scalable, reliable data pipelines and analytics-ready models. This is a hands-on, customer-facing role requiring strong problem-solving, ownership, and the ability to work independently with US-based customers.

Key Responsibilities:
- Build ELT pipelines using BigQuery OR Snowflake, dbt, and cloud services
- Write production-grade Python code for ingestion, transformation, and automation
- Design analytics-ready data models
- Work directly with customers to gather and clarify requirements
- Ensure data quality via testing, validation, and monitoring
- Debug pipeline failures, data issues, and performance bottlenecks
- Participate in code reviews and follow engineering best practices
- Work with 3–5 hours overlap with US EST/CST/PST

Required Qualifications:
- 2–4 years of data engineering or analytics engineering experience
- Strong SQL (joins, CTEs, window functions)
- Hands-on BigQuery OR Snowflake
- Strong Python coding used in production pipelines
- Experience with dbt (models and tests)
- Prior customer-facing or stakeholder-facing experience
- Strong ownership and accountability mindset

What Success Looks Like:
- Reliable pipelines with minimal production issues
- Clear communication with customers and stakeholders
- Well-tested, maintainable SQL and Python code

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