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Solutions Engineer, Data Engineering - Remote

Posted 7 weeks ago

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.

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