Grafana Labs is hiring a
Senior Data Engineer

Summary

The job is for a Senior Data Engineer at Grafana Labs who will maintain and build data frameworks, lead machine learning pipeline development, and work across various teams. The role requires software development skills, SQL proficiency, experience with data ingestion pipelines, MLOPs best practices, dbt or similar tools, excellent communication skills, and a self-starter attitude.

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 MLOps best practices
• 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

Responsibilities

• Maintain frameworks and systems that acquire, validate/cleanse, and load data into and out of analytics systems
• Lead the development of machine learning pipelines as we move to productionalize internal predictive models
• Engage across many parts of the company, including finance, revenue and cx operations, analytics teams, and analytic engineering
• 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
• 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

Preferred Qualifications

• Experience working with Prefect, BigQuery, and GCP services
• Knowledge about observability
• Previous experience with Grafana visualization, or a desire to invest the time to learn

Benefits

• Base compensation range for this role is $152,000 - $183,000 in the US. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process
• Benefits include equity, bonus (if applicable) and other benefits listed here