Software Engineer, Data

Airtable is the no-code app platform that empowers organizations to accelerate critical business processes. As a Software Engineer, Data, you will design and maintain data pipelines and collaborate with various stakeholders to enable better decision-making and improve data solutions.

Responsibilities:

• Work across our engineering organization and stakeholders from data science, growth, sales, marketing, and product to understand the data needs of the business and produce pipelines, data marts, and other solutions that enable better decision-making
• Design and maintain our foundational business tables in order to simplify analysis and reporting across the entire company, including AI usage metrics surfaced to executive stakeholders
• Use AI tools as a daily part of how you work, from LLM-assisted pipeline development and debugging to exploring our catalog through AI-powered discovery, and bring a curiosity for where this tooling is heading next
• Build and enforce a pattern language across our data stack, ensuring pipelines and tables are consistent, accurate, and well-understood
• Continue to improve the performance and reliability of our data warehouse
• Partner with data scientists, analytics engineers, and business stakeholders to translate ambiguous business questions into well-scoped data solutions

Requirements:

• 3-8+ years of professional experience designing, creating, and maintaining scalable data pipelines, preferably in Airflow
• Proficient in at least one programming language (preferably Python) and are willing to pick up others as the work demands
• Highly effective with SQL and understand how to write and tune complex queries
• Genuinely curious about how AI is reshaping data engineering and actively experimenting
• Passionate and thoughtful about building systems that enhance human understanding
• Communicate with clarity and precision in written form and have experience conveying findings through graphs and visualizations