Data Platform Engineer
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 . About this role: As a Data Platform Engineer at Astronomer, you’ll be a key partner to our clients, guiding them in deploying powerful data workflows to accelerate their business outcomes.
You'll have the chance to work with cutting-edge technology, help customers solve complex data challenges, and influence our product’s evolution through client feedback.
This role is ideal for someone who wants to make a visible impact while growing into an expert in workflow orchestration and Apache Airflow.
What you get do: Solve Real-World Problems : Design and implement proof-of-concept solutions that help customers tackle real data challenges, from concept to production.
Be a Trusted Advisor : Conduct demos and provide technical guidance to engineering teams, showing them how our platform can transform their workflows.
Influence Product Direction : Act as a liaison by gathering field insights and providing critical feedback to the Product team to shape the future of our platform.
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.
- Drive Community Impact : Contribute to the Apache Airflow community by creating technical content and best practices, positioning Astronomer as a thought leader in workflow orchestration.
- Curiosity and Customer Empathy : A genuine desire to understand customer needs, patience, and empathy to support them through challenges.
- Bonus points if you have: Hands-on Python scripting skills for data pipeline support.
Required Skills and Qualifications
- What you bring to the role: Data Engineering Know-How: Familiarity with core data engineering concepts including orchestration, ELT, Git, and Role-Based Access Control (RBAC), with hands-on experience or working knowledge of Apache Airflow in a customer environment.
- Experience and Expertise : 2+ years in a Sales Engineering, Solutions Engineering, Consulting or similar role within the data space, ideally with experience in modern data tools like Snowflake, Databricks, Fivetran, or Tableau.
- Effective Communication : Strong verbal and written communication skills to simplify complex technical concepts for diverse audiences.
- Bonus points if you have: Hands-on Python scripting skills for data pipeline support.
- Experience with open-source data tools.
- Customer-facing experience in a technical or consultative role.
- Experience working with Command Line Interfaces (CLI).
- Actual compensation may deviate from this range based on skills, experience, and qualifications.
Benefits and Perks
- Bonus points if you have: Hands-on Python scripting skills for data pipeline support.
- The estimated total compensation for this role ranges from $200,000 - $250,000, along with an equity component.
USA Jobs Today role summary
Role Summary
Data Platform Engineer at Astronomer is a remote United States position and is listed as Full Time.
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®.
Review the employer's original description and official application page before applying; USA Jobs Today organizes source-supported details for readability without changing stated requirements.
Application Checklist
- Review the stated qualifications, including: What you bring to the role: Data Engineering Know-How: Familiarity with core data engineering concepts including orchestration, ELT, Git, and Role-Based Access Control (RBAC), with hands-on experience or working knowledge of Apache Airflow in a customer environment. Experience and Expertise : 2+ years in a Sales Engineering, Solutions Engineering, Consulting or similar role within the data space, ideally with experience in modern data tools like Snowflake, Databricks, Fivetran, or Tableau.
- Confirm that the official application page still lists the role as open.
- Verify the work location and any United States eligibility or work-authorization requirements.
- Tailor your resume to the responsibilities and qualifications stated by Astronomer.
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Original job information is provided by the hiring organization or listed source. USA Jobs Today organizes source-supported details for readability without inventing salary, benefits, qualifications, sponsorship, or remote eligibility.
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
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