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Semi Senior Data Enginer
JOB SUMMARY
Job details
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.
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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Ryz Labs Argentina
