Customer Reliability Engineer, Airflow

🔥 20 hours ago

🇺🇸 United States – Remote

💵 $125k - $130k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

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Astronomer

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2018

🏥 Healthcare

🏭 Manufacturing

💼 Consulting

💰 $213M Series C on 2022-03

Healthcare • Manufacturing • Consulting

Astronomer is a company focused on enhancing data workflows with its platform, Astro, which is built on Apache Airflow®. It offers a fully-managed platform to streamline and elevate data orchestration, from AI-driven models to data observability and ETL processes. Astronomer provides solutions for scalable, secure, and reliable data management, catering primarily to industries such as financial services, gaming, healthcare, manufacturing, retail, and eCommerce. With extensive integrations and a focus on governance and infrastructure management, Astronomer helps organizations accelerate productivity and optimize business decisions.

📋 Description

• Learn and build expertise in Airflow and data engineering, Kubernetes, and cloud engineering • Solve challenging Apache Airflow problems for customers, from configuration optimization to identifying Airflow bugs • Spend up to 20% of time on side projects contributing to Astronomer’s success, including open-source Airflow contributions and internal monitoring and alerting systems • Work on Astronomer’s modern, cloud-native managed Airflow product • Work directly with customers’ data engineers, system administrators, DevOps teams, and management • Provide feedback that can shape the direction of the Airflow project • Own the customer experience by prioritizing and solving issues, meeting SLAs, and providing white-glove production guidance • Participate remotely within a fully distributed team • Help maintain 24x7 coverage through a specified 6-hour pager period during the work day • Participate in paid on-call rotation for weekend coverage • Gain exposure to product, engineering, customer relationship management, and related areas

🎯 Requirements

• 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 the ticketing system and Zoom • Experience mentoring junior team members • Contributions to open-source projects (bonus) • Customer Support experience (bonus) • Familiarity with SQL and PostgreSQL (bonus) • Experience with Databricks, Snowflake, Redshift, dbt, or similar data engineering tools (bonus) • Authorization to work in the United States is requested in the application form • Ability and willingness to participate in a mandatory in-person interview • Ability to help maintain 24x7 coverage through a specified 6-hour pager period during the work day

🏖️ Benefits

• Equity component • Comprehensive benefits package • Paid on-call rotation for weekend coverage • Up to 20% of time for side projects and open-source contributions