Customer Reliability Engineer, Airflow

Job Overview

Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading unified DataOps platform powered by Apache Airflow®.

Astro accelerates building reliable data products that unlock insights, unleash AI value, and powers data-driven applications. Trusted by more than 800 of the world's leading enterprises, Astronomer lets businesses do more with their data.

Job Description

To learn more, visit www. astronomer. io .

You’ll provide Apache Airflow expertise directly to customers to help them make the best possible use of our managed Airflow service. CRE is Astronomer’s support team.

Nearly every ticket you will work requires an intersection of strong technical knowledge and customer empathy to understand what the customer needs and how to get them there. Every day is a new challenge and a new thing to learn.

When you learn a new piece of technology, are you aiming not just to get started but to become the expert? Do you listen to the plumber when they tell you what is wrong with the pipes?

Are you the kind of person who takes an MIT OpenCourseWare course and actually finishes it? Then this role could be for you.

What you get to do: Learn and build expertise across several software engineering disciplines, including: Airflow and data engineering Kubernetes Cloud Engineering Gain exposure to the big picture; learn about product, engineering, customer relationship management, and more.

Key Responsibilities

• Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading unified DataOps platform powered by Apache Airflow®.
• Astro accelerates building reliable data products that unlock insights, unleash AI value, and powers data-driven applications.
• Trusted by more than 800 of the world's leading enterprises, Astronomer lets businesses do more with their data.
• About this role: As an Airflow Reliability Engineer on the Customer Reliability Engineering (CRE) team at Astronomer, you will have the opportunity to become an Apache Airflow expert, learning directly from leaders of the Airflow project.
• You’ll provide Apache Airflow expertise directly to customers to help them make the best possible use of our managed Airflow service.
• CRE is Astronomer’s support team.
• Because our customers are sophisticated organizations who need and expect high levels of expertise to help them keep mission critical uses of Apache Airflow working consistently, we look a little different from most support teams.
• Nearly every ticket you will work requires an intersection of strong technical knowledge and customer empathy to understand what the customer needs and how to get them there.

Required Skills and Qualifications

• Nearly every ticket you will work requires an intersection of strong technical knowledge and customer empathy to understand what the customer needs and how to get them there.
• 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.
• 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 our customers over our 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 The estimated total compensation for this role ranges from $125,000 - $130,000 based on leveling and geography, along with an equity component and a comprehensive benefits package.
• This range is merely an estimate; actual compensation may deviate from this range based on skills, experience, and qualifications.

Benefits and Perks

• 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 our customers over our 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 The estimated total compensation for this role ranges from $125,000 - $130,000 based on leveling and geography, along with an equity component and a comprehensive benefits package.

Work Location and Schedule

This role is listed as Remote USA with location information shown as Remote USA. The employment type is Full Time.

About the Company

Astronomer is the organization connected with this listing. USA Jobs Today displays this opportunity for job discovery only, so applicants should verify company details, application instructions, and eligibility on the official employer website.