Solutions Engineer, Data Engineering

Astronomer, the company behind Astro, an industry-leading DataOps platform powered by Airflow, is seeking a Solutions Engineer to join their Global Services Delivery Team. This role combines technical expertise with customer-facing responsibilities, making it perfect for data engineers passionate about Apache Airflow and customer success.

As a Solutions Engineer, you'll work with organizations ranging from startups to Fortune 500 enterprises, implementing Airflow solutions that follow best practices and enable growth. You'll become a trusted advisor in the data engineering space, helping customers architect and optimize their data pipelines across various environments and use cases.

The role requires 3-6 years of data engineering experience, with deep knowledge of Apache Airflow in production environments. You'll need strong Python skills, experience with ETL/ELT pipelines, and familiarity with major cloud platforms and modern data stack technologies. The position offers the opportunity to work with cutting-edge data technologies while engaging with the vibrant Apache Airflow open-source community.

Working in a hybrid model from Hyderabad, you'll collaborate with a globally-distributed team of innovators and learners. The company values diverse experiences and backgrounds, making it an ideal environment for professionals with unconventional career paths. You'll be at the forefront of the industry, helping to deliver mission-critical analytics and AI solutions while growing your expertise in one of the most important tools in modern data engineering.