Argentina onlyAt 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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