Data Engineer
Airtable
Data Engineer
Job Description
Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done.
At Airtable, we’re passionate about democratizing software creation—empowering anyone to build powerful, flexible tools without writing code. With our shift to an AI-native platform, customers can now generate full apps and deploy AI agents directly into their workflows. Data engineering plays a critical role in this evolution by delivering the insights our teams rely on to improve user experience, measure agent impact, and understand how the business is performing at scale.
As one of the data engineers at Airtable, you'll make an enormous contribution to our data engineering efforts. You'll design and own mission-critical data pipelines to enable decision-making, partner with company leaders to create scalable data solutions, and launch innovative alerting and visualization solutions.
What you'll do
- Work between our engineering organization and stakeholders from our data science, growth, sales, marketing, and product teams, to understand the data needs of the business and produce pipelines, data marts, and other data solutions that enable better product and growth decision-making.
- Design and update our foundational business tables in order to simplify analysis across the entire company.
- Continue to improve the performance and reliability of our data warehouse.
- Build and enforce a pattern language across our data stack, ensuring that our data pipelines and tables are consistent, accurate, and well-understood.
Who you are
- You have 5+ years of professional experience designing, creating and maintaining scalable data pipelines, preferably in Airflow.
- You've wrangled enough data to understand how often the complex systems that produce data can go wrong.
- You are proficient in at least one programming language (preferably Python), and are willing to become effective in others as needed to get your job done.
- You are highly effective with SQL and understand how to write and tune complex queries.
- You're passionate and thoughtful about building systems that enhance human understanding.
- You communicate with clarity and precision in written form; experience communicating with graphs and plots.
Compensation awarded to successful candidates will vary based on their work location, relevant skills, and experience.
Our total compensation package also includes the opportunity to receive benefits, restricted stock units, and may include incentive compensation. To learn more about our comprehensive benefit offerings, please check out Life at Airtable.
Please see our Privacy Notice for details regarding Airtable’s collection and use of personal information relating to the application and recruitment process by clicking here.
🔒 Stay Safe from Job Scams
All official Airtable communication will come from an @airtable.com email address. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt, contact us at hr@airtable.com. Learn more about avoiding job scams here.
Locations
- San Francisco, California, United States
Salary
Salary details available upon request
115,000 - 185,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Designing, creating and maintaining scalable data pipelinesintermediate
- Airflow (preferred)intermediate
- Programming language (preferably Python)intermediate
- SQL (complex queries and tuning)intermediate
- Data wranglingintermediate
- Communication with clarity and precisionintermediate
- Communicating with graphs and plotsintermediate
Required Qualifications
- 5+ years of professional experience designing, creating and maintaining scalable data pipelines, preferably in Airflow (experience)
- You've wrangled enough data to understand how often the complex systems that produce data can go wrong (experience)
- Proficient in at least one programming language (preferably Python), and are willing to become effective in others as needed (experience)
- Highly effective with SQL and understand how to write and tune complex queries (experience)
- Passionate and thoughtful about building systems that enhance human understanding (experience)
- Communicate with clarity and precision in written form; experience communicating with graphs and plots (experience)
Responsibilities
- Work between our engineering organization and stakeholders from our data science, growth, sales, marketing, and product teams, to understand the data needs of the business and produce pipelines, data marts, and other data solutions that enable better product and growth decision-making
- Design and update our foundational business tables in order to simplify analysis across the entire company
- Continue to improve the performance and reliability of our data warehouse
- Build and enforce a pattern language across our data stack, ensuring that our data pipelines and tables are consistent, accurate, and well-understood
Benefits
- general: Opportunity to receive benefits
- general: Restricted stock units
- general: May include incentive compensation
- general: Comprehensive benefit offerings (see Life at Airtable)
Tags & Categories
Answer 10 quick questions to check your fit for Data Engineer @ Airtable.
Related Books and Jobs
Data Engineer
Airtable
Data Engineer
Job Description
Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done.
At Airtable, we’re passionate about democratizing software creation—empowering anyone to build powerful, flexible tools without writing code. With our shift to an AI-native platform, customers can now generate full apps and deploy AI agents directly into their workflows. Data engineering plays a critical role in this evolution by delivering the insights our teams rely on to improve user experience, measure agent impact, and understand how the business is performing at scale.
As one of the data engineers at Airtable, you'll make an enormous contribution to our data engineering efforts. You'll design and own mission-critical data pipelines to enable decision-making, partner with company leaders to create scalable data solutions, and launch innovative alerting and visualization solutions.
What you'll do
- Work between our engineering organization and stakeholders from our data science, growth, sales, marketing, and product teams, to understand the data needs of the business and produce pipelines, data marts, and other data solutions that enable better product and growth decision-making.
- Design and update our foundational business tables in order to simplify analysis across the entire company.
- Continue to improve the performance and reliability of our data warehouse.
- Build and enforce a pattern language across our data stack, ensuring that our data pipelines and tables are consistent, accurate, and well-understood.
Who you are
- You have 5+ years of professional experience designing, creating and maintaining scalable data pipelines, preferably in Airflow.
- You've wrangled enough data to understand how often the complex systems that produce data can go wrong.
- You are proficient in at least one programming language (preferably Python), and are willing to become effective in others as needed to get your job done.
- You are highly effective with SQL and understand how to write and tune complex queries.
- You're passionate and thoughtful about building systems that enhance human understanding.
- You communicate with clarity and precision in written form; experience communicating with graphs and plots.
Compensation awarded to successful candidates will vary based on their work location, relevant skills, and experience.
Our total compensation package also includes the opportunity to receive benefits, restricted stock units, and may include incentive compensation. To learn more about our comprehensive benefit offerings, please check out Life at Airtable.
Please see our Privacy Notice for details regarding Airtable’s collection and use of personal information relating to the application and recruitment process by clicking here.
🔒 Stay Safe from Job Scams
All official Airtable communication will come from an @airtable.com email address. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt, contact us at hr@airtable.com. Learn more about avoiding job scams here.
Locations
- San Francisco, California, United States
Salary
Salary details available upon request
115,000 - 185,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Designing, creating and maintaining scalable data pipelinesintermediate
- Airflow (preferred)intermediate
- Programming language (preferably Python)intermediate
- SQL (complex queries and tuning)intermediate
- Data wranglingintermediate
- Communication with clarity and precisionintermediate
- Communicating with graphs and plotsintermediate
Required Qualifications
- 5+ years of professional experience designing, creating and maintaining scalable data pipelines, preferably in Airflow (experience)
- You've wrangled enough data to understand how often the complex systems that produce data can go wrong (experience)
- Proficient in at least one programming language (preferably Python), and are willing to become effective in others as needed (experience)
- Highly effective with SQL and understand how to write and tune complex queries (experience)
- Passionate and thoughtful about building systems that enhance human understanding (experience)
- Communicate with clarity and precision in written form; experience communicating with graphs and plots (experience)
Responsibilities
- Work between our engineering organization and stakeholders from our data science, growth, sales, marketing, and product teams, to understand the data needs of the business and produce pipelines, data marts, and other data solutions that enable better product and growth decision-making
- Design and update our foundational business tables in order to simplify analysis across the entire company
- Continue to improve the performance and reliability of our data warehouse
- Build and enforce a pattern language across our data stack, ensuring that our data pipelines and tables are consistent, accurate, and well-understood
Benefits
- general: Opportunity to receive benefits
- general: Restricted stock units
- general: May include incentive compensation
- general: Comprehensive benefit offerings (see Life at Airtable)
Tags & Categories
Answer 10 quick questions to check your fit for Data Engineer @ Airtable.
Related Books and Jobs