Senior Data Engineer | USA | Remote

Grafana Labs is a remote-first, open-source powerhouse with over 20M users globally. They are seeking a Senior Data Engineer to maintain frameworks and systems for data management and to lead the development of machine learning pipelines for internal predictive models.

Responsibilities:

• Build and maintain production quality data pipelines between operational systems and BigQuery (ingress and egress)
• Implement data quality and freshness checks and monitoring processes to ensure data accuracy and consistency
• Maintain and contribute to our ingestion framework that leverages various purpose-built data load tool (dlt) connectors
• Create and maintain comprehensive documentation for data engineering processes, systems, and workflows
• Maintain observability and monitoring of our internal data pipelines
• Troubleshoot and resolve data pipeline issues to ensure downstream data availability
• Contribute to our dbt systems by making sure the source and staging layers align with our standards, are efficient, cost-effective, and highly available
• Participate in the investigation and implementation of event-driven data movement and transformation processes
• Participate in the investigation and implementation of analytic data storage/table formats (e.g. Apache Iceberg)

Requirements:

• Software development skills (some combination of Python, Java, Scala, Go)
• High proficiency in SQL
• Experience building and maintaining data ingestion pipelines using a workflow orchestration system (e.g. Prefect, Dagster, Airflow)
• Working knowledge of dbt or similar data transformation tools
• Highly motivated self-starter that is keen to make an impact and is unafraid of tackling large, complicated problems
• Excellent communication skills, able to explain technical topics to non-technical audiences, and maintain many of the essential cross-team and cross-functional relationships necessary for the team's success
• Experience working with Prefect, BigQuery, and GCP services
• Knowledge of event driven architectures
• Knowledge about observability
• Previous experience with Grafana visualization, or a desire to invest the time to learn