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 3ā5 hours overlap with US EST/CST/PST
Required Qualifications:- 2ā4 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