Senior Data Engineer (Pipeline)
Demandbase$190,000 - $284,000/year
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Software, Cloud ComputingIndustries
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What is the salary range for this position?
For work locations in the San Francisco Bay Area, Seattle, New York City, and Los Angeles, the base salary range is $179,500 - $277,600 USD. Compensation varies based on work location, relevant skills, and experience.
What are the work locations for this role?
The specified base salary locations are San Francisco Bay Area, Seattle, New York City, and Los Angeles. Compensation varies based on work location.
What skills and experience are required for this data engineer role?
Candidates need 5+ years designing and maintaining scalable data pipelines (preferably in Airflow), proficiency in at least one programming language (preferably Python), and high effectiveness with SQL including complex queries. Experience wrangling data and understanding complex systems is also essential.
What benefits are offered with this position?
The total compensation package includes benefits, restricted stock units, and may include incentive compensation. More details are available at Life at Airtable.
What makes a strong candidate for this data engineer position?
Strong candidates have 5+ years in scalable data pipelines (Airflow preferred), proficiency in Python and SQL, experience with data systems reliability, and clear communication skills including with graphs and plots.
Airtable
SaaS platform for workflow and data management
About Airtable
Airtable offers a platform that merges spreadsheet and database functionalities, allowing users to manage workflows and data without advanced technical skills. The platform is adaptable for various uses, such as project management and customer relationship management, and enables users to visualize data in multiple formats. Operating on a subscription-based model, Airtable provides different pricing tiers to cater to a wide range of clients, from individuals to large organizations. The company's goal is to empower users to effectively manage their data and workflows, making software creation accessible to everyone.
San Francisco, CaliforniaHeadquarters
2012Year Founded
$1,315.7MTotal Funding
SERIES_FCompany Stage
Data & Analytics, Consumer Software, Enterprise SoftwareIndustries
501-1,000Employees
Benefits
We have your medical, dental, and vision insurance 100% covered (and your dependents covered at 80%)
High deductible health plan available with health savings account contribution
Complimentary One Medical membership for individuals and dependents
Monthly “Lifestyle Wallet” to use for benefits like personal fitness (e.g., gym memberships, fitness equipment, etc.) to pet care to nutrition coaching, and more.
Complimentary mental health support via Modern Health Family planning support (fertility, adoption, and surrogacy)
Flexible and generous time off and sick time benefits
16 weeks of parental leave
Annual Learning & Development wallet to support your career development
Emergency backup care for dependents
Access to financial planning and legal support
Risks
Competition from Notion and Coda threatens Airtable's market share.
AI advancements by competitors may outpace Airtable's innovations.
Reliance on third-party integrations poses potential strategic risks.
Differentiation
Airtable combines spreadsheet and database functionalities for custom app creation.
The platform offers a no-code solution, appealing to non-technical users.
Airtable's tiered pricing caters to a wide range of users and businesses.
Upsides
Growing demand for no-code platforms boosts Airtable's market potential.
Recent AI platform launch aligns with trends in AI-driven project management.
Airtable's integration with IBM enhances its collaborative tool offerings.
Related Jobs
RemoteRemoteData Science Engineer (Python)
AntennaSalary not specified
- Full Time
- Senior (5 to 8 years)
RemoteData Engineer - USA Remote
Danaher CorporationSalary not specified
- Full Time
- Mid-level (3 to 4 years)
RemoteStaff Software Engineer, Data Engineering ( West Coast Preferred)
Docker$200,400 - $275,600/year
- Full Time
- Expert & Leadership (9+ years)
RemoteSenior Solutions Engineer - Data & ML
Union.ai$104,100 - $200,600/year
- Full Time
- Senior (5 to 8 years)
RemoteSenior Business Intelligence Engineer
HumanaSalary not specified
- Full Time
- Senior (5 to 8 years)
RemoteSenior Data Engineer, Data Lakehouse Infrastructure
TRM LabsSalary not specified
- Full Time
- Senior (5 to 8 years)
RemoteData Engineer II
SubsplashSalary not specified
RemoteStaff Data Engineer
Life360$166,500 - $245,000/year
- Full Time
- Expert & Leadership (9+ years)
RemoteSenior Data Platform Engineer
Apollo.ioSalary not specified
- Full Time
- Senior (5 to 8 years)
RemoteSenior Data Engineer
BiorenderSalary not specified
- Full Time
- Senior (5 to 8 years)
RemoteAnalytics Engineer
7shiftsSalary not specified
- Full Time
- Junior (1 to 2 years)
RemotePrincipal Data Architect
eBaySalary not specified
- Full Time
- Expert & Leadership (9+ years)
RemoteSenior Software Engineer, Machine Learning
ZipRecruiterSalary not specified
- Full Time
- Junior (1 to 2 years)