Principal Data Engineer - Remote

Overview

Ryz Labs is looking for a Principal Data Engineer who can design, build, and own modern data platforms end-to-end: from ingestion pipelines and cloud infrastructure through to high-quality, production-grade code. You’ll pair traditional data-engineering strengths with solid software-development practices to deliver resilient data products that scale.

In Short

• Design & build data pipelines using Python, SQL, and Spark/Databricks.
• Engineer cloud infrastructure using AWS, Azure, or GCP.
• Implement software-craft disciplines like version control and automated testing.
• Produce architectural diagrams and technical design documents.
• Monitor and optimize data pipelines.
• Champion data quality and governance.
• Collaborate with cross-functional teams.
• 6+ years of data engineering experience.
• Databricks and cloud certifications preferred.
• Comfortable with writing design documents.

Requirements

• Mastery of Python, Spark, and SQL.
• Experience with Infrastructure-as-Code and CI/CD tooling.
• Knowledge of observability and monitoring tools.
• Experience in setting up data quality pipelines.
• Strong communication and collaboration skills.

Benefits

• Work in a remote and distributed team.
• Opportunities for learning and growth.
• Challenging projects in a startup environment.
• Autonomy in your role.
• Collaborate with a team of professionals.