Solutions Engineer, Data Engineering - Remote

Overview

Astronomer designed Astro, an industry-leading data orchestration and observability platform for data teams. Powered by Airflow, Astro accelerates building reliable data products that unlock insights, unleash AI value, and drive data-driven applications.

We’re a globally-distributed and rapidly growing venture-backed team of learners, innovators and collaborators. Our mission is to empower data teams to bring mission-critical analytics, AI, and software to life. As a member of our team, you will be at the forefront of the industry as we strive to deliver the world's data.

Your background may be unconventional; as long as you have the essential qualifications, we encourage you to apply. While having "bonus" qualifications makes for a strong candidate, Astronomer values diverse experiences. Many of us at Astronomer haven't followed traditional career paths, and we welcome it if yours hasn't either.

In Short

• You'll be able to speak to and deliver solutions around Apache Airflow and the Astronomer platform.
• You'll interact with customers and partners to ensure successful Airflow implementation post-sales.
• You'll be a trusted advisor and help architect data pipelines across all types of environments and use cases.
• You'll have the opportunity to engage with the Apache Airflow project, a thriving open-source community with thousands of contributors.
• Maintain and continuously improve your technical expertise.
• Work with customers to educate and guide them regarding Airflow best practices.
• Collaborate with team members to design, prototype, and implement engineering solutions.
• Act as a liaison by collecting feedback and identifying Airflow/Astronomer improvements.
• Review and optimize customer data workflows and Airflow system configurations.

Requirements

• 3-5 years of data-engineering experience, ideally working with Apache Airflow in production environments.
• Experience creating DAGs, writing Python, and building Airflow custom operators and hooks.
• Excitement about implementing ETL/ELT pipelines, knowledge of applying Data transformations.
• Experience with related market products such as Cloudera, Databricks, Snowflake, DBT, AWS, Azure, Google Cloud.
• Empathetic, driven and team-oriented.
• Great prioritization skills and ability to execute on customer-facing activities.
• A strong verbal and written communicator.
• Highly data-driven and intrigued by the challenge of delivering an awesome Astronomer experience.

Benefits

• Flexible hybrid work model.
• Opportunity to work with a globally-distributed team.
• Engagement with the Apache Airflow open-source community.
• Continuous learning and improvement opportunities.
• Supportive and inclusive work environment.