Hybrid Solutions Engineer – Data Engineering

Posted last week

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About the role

  • Solutions Engineer working with Apache Airflow and Astronomer’s unified DataOps platform. Engaging with customers to deliver data solutions and optimize workflows across environments.

Responsibilities

  • 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 for internal and external use.
  • Act as a liaison by collecting feedback and identifying Airflow/Astronomer improvements through client interactions and relaying these recommendations back to the Product team.
  • Review and optimize customer data workflows and Airflow system configurations for improved performance.

Requirements

  • 3-5 years of data-engineering experience, 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, optimizing and monitoring data pipelines
  • Experience with related market products such as Cloudera, Databricks, Snowflake, DBT, AWS, Azure, Google Cloud, ETL Technologies or other analytics solutions
  • Empathetic, driven and team-oriented
  • Great prioritization skills and ability to execute on customer-facing activities
  • A strong verbal and written communicator interacting with assigned customers over a variety of mediums (slack, email, knowledge transfer, and pair programming sessions).
  • Highly data-driven and intrigued by the challenge of delivering an awesome Astronomer experience to hundreds of customers
  • Experienced with Production implementation of ETL/ELT processes using Modern Data Stack (Bonus points)
  • Experience building and maintaining CI/CD pipelines (Bonus points)
  • Experience working on short and long-term Customer engagements (Bonus points)
  • Experience with infrastructure tools like Docker and Kubernetes (Bonus points)

Benefits

  • Hybrid Work Model
  • Professional development opportunities

Job title

Solutions Engineer – Data Engineering

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

No Education Requirement

Location requirements

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