Job Overview
Location
Remote (United States)
Job Type
Full-time
Category
Data Science
Date Posted
March 24, 2026
Full Job Description
đź“‹ Description
- • As a Solutions Engineer on the Global Services Delivery Team at Astronomer, you will play a critical role in enabling data teams across industries—from startups to Fortune 500 enterprises—to successfully implement and scale Apache Airflow through the Astro platform, ensuring reliable, mission-critical data pipelines that power analytics, AI, and data-driven applications.
- • You will serve as a trusted technical advisor, guiding customers in adopting Airflow best practices, designing scalable data workflows, and translating business needs into robust technical solutions that unlock the full value of their data investments.
- • Your day-to-day responsibilities include maintaining deep expertise in Apache Airflow and the Astronomer platform, staying current with releases and features that impact customer success.
- • You will work directly with customers to educate them on Airflow best practices, conduct code refactoring assessments, and provide expert guidance for both new and existing implementations.
- • Collaboration is key: you’ll partner with internal teams to design, prototype, and implement engineering solutions for internal tools and customer-facing use cases.
- • Acting as a customer voice, you’ll gather feedback from real-world implementations and relay actionable insights to the Product team to drive improvements in Airflow and Astronomer offerings.
- • You’ll review and optimize customer data workflows and Airflow system configurations to enhance performance, reliability, and operational efficiency.
- • Engaging with the broader Apache Airflow open-source community, you’ll contribute to and learn from thousands of global contributors, strengthening your expertise and Astronomer’s connection to the ecosystem.
- • The Solutions Engineer role is based in the Pacific Time Zone (PST) and operates remotely within the United States, requiring strong self-direction and time-zone alignment for effective customer engagement.
- • This role offers significant growth potential, allowing you to become a recognized Airflow expert while developing consulting, technical leadership, and cross-functional collaboration skills in a high-impact, customer-centric environment.
- • You’ll gain exposure to diverse data architectures and modern data stack technologies, broadening your expertise across cloud platforms, orchestration tools, and data transformation frameworks.
🎯 Requirements
- • 3-5 years of data engineering experience, with hands-on production experience using Apache Airflow.
- • Proficiency in creating DAGs, writing Python, and developing custom Airflow operators and hooks.
- • Experience with ETL/ELT pipelines, data transformation techniques, and monitoring/optimizing data workflows in production environments.
- • Familiarity with modern data stack technologies such as Snowflake, Databricks, AWS, Azure, Google Cloud, DBT, or similar analytics and orchestration platforms.
- • Strong communication skills—both verbal and written—with the ability to engage customers via Slack, email, knowledge transfer sessions, and pair programming.
- • Demonstrated ability to prioritize tasks, manage customer-facing activities, and work effectively in a team-oriented, empathetic, and driven manner.
🏖️ Benefits
- • Competitive base salary ranging from $120,000 to $150,000, complemented by an equity component.
- • Comprehensive benefits package including health, dental, and vision insurance.
- • Remote work flexibility within the United States, enabling work-life balance and geographic freedom.
- • Opportunities to engage with and contribute to the Apache Airflow open-source community.
- • Professional growth through deep technical mastery of Airflow and the Astronomer platform, positioning you as a trusted advisor in the data engineering space.
- • Collaborative, inclusive culture at an equal-opportunity employer committed to diversity and belonging.
Skills & Technologies
About Astronomer, Inc.
Astronomer, Inc. provides Apache Airflow as a managed cloud service and enterprise platform. The company maintains the open-source workflow orchestration project, offers commercial support, and delivers a control plane that lets data teams deploy, monitor, and scale directed acyclic graphs across Kubernetes clusters. Its product suite includes Astro, a fully hosted Airflow environment with role-based access, CI/CD hooks, and usage observability. Customers use the software to schedule Python and SQL data pipelines, connect on-premise and cloud databases, and ensure reliable data delivery for analytics and machine-learning workloads. Astronomer is headquartered in Cincinnati, Ohio, and serves global enterprises.
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