Software Engineer, Data
North America
July 3, 2026 at 1:25 AM
✨ AI summary
Location
- US Remote
Languages
- Python
Experience Level
- 3-8+ years professional experience
About The Company
Airtable is a leading no-code application platform that empowers organizations to streamline and accelerate their critical business processes. With a mission to democratize software creation, Airtable enables users to build powerful, flexible tools without the need for coding expertise. Serving over 500,000 organizations worldwide, including 80% of the Fortune 100, Airtable has established itself as a trusted partner in transforming how work is accomplished. The company is committed to innovation, particularly in leveraging artificial intelligence, to enhance user experience and operational efficiency. As Airtable continues to evolve into an AI-native platform, it offers cutting-edge features such as full app generation and AI agent deployment, positioning itself at the forefront of the no-code and AI revolution.
About The Role
The Software Engineer, Data at Airtable plays a vital role in advancing the company's data engineering capabilities. This position involves designing, developing, and maintaining mission-critical data pipelines that support decision-making, product analytics, and AI initiatives. The successful candidate will collaborate closely with cross-functional teams, including Data Science, Analytics, Product, and Engineering, to translate complex business needs into scalable and trustworthy data solutions. As part of the Product & AI Data Infrastructure team, you will be instrumental in building foundational data systems that power Airtable’s AI features, measure AI adoption, and facilitate AI-powered data discovery. Your work will directly influence the company's strategic decisions and product innovations, especially as Airtable integrates more AI-native functionalities.
Qualifications
Airtable is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, or any other protected status under applicable law.
Airtable is a leading no-code application platform that empowers organizations to streamline and accelerate their critical business processes. With a mission to democratize software creation, Airtable enables users to build powerful, flexible tools without the need for coding expertise. Serving over 500,000 organizations worldwide, including 80% of the Fortune 100, Airtable has established itself as a trusted partner in transforming how work is accomplished. The company is committed to innovation, particularly in leveraging artificial intelligence, to enhance user experience and operational efficiency. As Airtable continues to evolve into an AI-native platform, it offers cutting-edge features such as full app generation and AI agent deployment, positioning itself at the forefront of the no-code and AI revolution.
About The Role
The Software Engineer, Data at Airtable plays a vital role in advancing the company's data engineering capabilities. This position involves designing, developing, and maintaining mission-critical data pipelines that support decision-making, product analytics, and AI initiatives. The successful candidate will collaborate closely with cross-functional teams, including Data Science, Analytics, Product, and Engineering, to translate complex business needs into scalable and trustworthy data solutions. As part of the Product & AI Data Infrastructure team, you will be instrumental in building foundational data systems that power Airtable’s AI features, measure AI adoption, and facilitate AI-powered data discovery. Your work will directly influence the company's strategic decisions and product innovations, especially as Airtable integrates more AI-native functionalities.
Qualifications
- 3-8+ years of professional experience designing, creating, and maintaining scalable data pipelines
- Proficiency in at least one programming language, preferably Python
- Strong SQL skills with the ability to write and optimize complex queries
- Experience with data pipeline orchestration tools such as Airflow
- Understanding of data modeling, warehousing, and ETL processes
- Experience working with large-scale data systems and ensuring data quality and reliability
- Familiarity with AI tools, including large language models (LLMs), and their application in data engineering
- Excellent communication skills, with the ability to convey technical concepts clearly through written reports and visualizations
- A curious mindset with a passion for exploring how AI is transforming data engineering
- Design, build, and maintain scalable data pipelines to support business analytics, product insights, and AI initiatives
- Develop and optimize foundational business tables and data marts for company-wide analysis and reporting
- Collaborate with stakeholders across Data Science, Analytics, Product, and Engineering to understand and fulfill data needs
- Implement AI-powered data discovery tools and integrate AI functionalities into existing data infrastructure
- Instrument and measure AI product usage, surfacing key metrics to executive stakeholders
- Establish and enforce best practices and pattern standards across the data stack to ensure consistency and accuracy
- Continuously improve the performance, reliability, and scalability of the data warehouse
- Partner with data scientists and analytics engineers to translate ambiguous business questions into actionable data solutions
- Leverage AI tools for pipeline development, debugging, and data exploration to enhance efficiency and innovation
- Comprehensive health, dental, and vision insurance plans
- Generous paid time off and holidays
- Competitive salary and equity options, including restricted stock units
- Flexible work hours and remote work opportunities
- Professional development and learning stipends
- Wellness programs and mental health resources
- Collaborative and inclusive company culture that values innovation and diversity
Airtable is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, age, disability, or any other protected status under applicable law.