Customer Reliability Engineer - Airflow

Astronomer; Northern (KY); On-site; USD 125,000 - 130,000; Full time

Benefits offered by this job

Equity

Comprehensive benefits

Job summary

Astronomer is seeking an Airflow Reliability Engineer on the Customer Reliability Engineering team to provide expert Apache Airflow guidance for our managed service. You will engage with customers to troubleshoot, optimize configurations, and deliver white-glove support while expanding your Airflow and data engineering expertise.

You will work with a distributed team, learn across product, engineering, and customer relationships, and contribute to open-source efforts and internal monitoring

Qualifications

• Data engineering background.
• 4 years of Python experience.
• 1 year of Airflow administration and DAG creation.
• Experience with Kubernetes/Docker/Containers.
• Experience with distributed systems on AWS, GCP, or Azure.
• Strong problem-solving skills and troubleshooting ability.
• Ability to work autonomously and independently.
• Strong written and verbal communication for customer interactions.
• Experience mentoring junior team members.

Responsibilities

• Learn and build expertise across multiple software engineering disciplines including Airflow and data engineering.
• Solve challenging Airflow problems for customers, from configuration optimizations to bug identification.
• Work with customers’ data engineers, admins, and DevOps teams to prioritize and resolve issues.
• Contribute to side projects that benefit Astronomer and the Airflow ecosystem.
• Provide white-glove guidance and ensure SLAs are met for production environments.

Skills

Data engineering

Python

Airflow

Kubernetes

Cloud platforms

Problem solving

Autonomy

Communication

Mentoring

Tools

Kubernetes

Docker

AWS

GCP

Azure

PostgreSQL

Job description

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. To learn more, visit www.astronomer.io.

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. 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.

• Solve challenging Airflow problems for our customers. From optimizing configuration to identifying world-first Airflow bugs, you’ll see it all here.

• 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. Gain depth and breadth of learning!

• Work directly with our 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 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.

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At Astronomer, we value diversity. We are an equal opportunity employer: we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.