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AstronomerAstronomerSan Francisco, CA

Customer Reliability Engineer, Airflow

Provide Apache Airflow expertise and solve complex data engineering issues for enterprise customers on Astronomer's managed Airflow platform. Requires 4+ years Python, 1+ year Airflow admin/DAG experience, Kubernetes, and cloud platform experience.

125k – 130k
Remote4+ YOESupport Engineering

About the role

What you get to do

  • Learn and build expertise across several software engineering disciplines, including Airflow and data engineering, Kubernetes, and Cloud Engineering
  • Solve challenging Airflow problems for customers, from optimizing configuration to identifying world-first Airflow bugs
  • Spend up to 20% of your time on side projects that contribute to Astronomer’s overall success, such as contributing to the open-source Airflow repository or developing Astronomer’s internal monitoring and alerting systems built on Airflow
  • Work on a modern, sophisticated, cloud-native product that customers use to connect to dozens of other systems
  • Work directly with customers’ data engineers, system admins, DevOps teams, and management
  • Provide feedback from your experience that can shape the direction of the Airflow project
  • Own the customer experience, working directly with customers to prioritize and solve issues, meet SLAs, and provide “white glove” guidance on the path to production
  • Participate remotely within a fully distributed team
  • Help maintain 24x7 coverage through a specified 6-hour pager period during your work day
  • Participate in paid on-call rotation for weekend coverage

What you bring to the role

  • Data Engineering background
  • 4 years of experience with Python
  • 1 year of experience in Airflow administration and DAG creation
  • Experience with Kubernetes/Docker/Containers
  • Experience working with a distributed system with any major cloud provider (AWS, GCP, Azure)
  • Problem-solving and troubleshooting abilities
  • Ability to work well with autonomy and independence
  • Strong written and verbal communication for connecting with customers over ticketing system and through Zoom
  • Experience mentoring junior team members

Bonus points if you have

  • Contributions to open-source projects
  • Customer Support experience
  • Familiarity with SQL and PostgreSQL
  • Experience with Databricks, Snowflake, Redshift, dbt, or other similar data engineering tools

Compensation and Benefits

  • Estimated total compensation ranges from $125,000 - $130,000 based on leveling and geography, along with an equity component and a comprehensive benefits package

Skills

PythonApache AirflowKubernetesDockerAWSGCPAzureSQLPostgresDatabricksSnowflakeRedshiftdbt

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