Intermediate Data Engineer

Description: Build, run, and maintain data pipelines and infrastructure for GitLab's data platform. Ensure reliable, secure, and cost-efficient data ready for reporting, data science, and AI self-service. Requirements: Professional experience in shipping production data pipelines using Python. Deep SQL skills and experience with cloud data warehouses, preferably Snowflake. Hands-on experience with ELT/ETL pipelines and orchestration tools like Airflow. Familiarity with Git-based workflows, CI/CD, and code review processes. Experience using AI coding tools in daily work. Clear written communication and ability to work asynchronously in a remote environment. Preferred: Experience with Docker, Kubernetes, GCP, Terraform, and SaaS application APIs. Benefits: Health, financial, and well-being support benefits. Flexible Paid Time Off (PTO). Equity Compensation & Employee Stock Purchase Plan. Growth and Development Fund for professional development. Parental Leave.