Data Engineer, Analytics

Cursor4 months ago

Location

SF / NY

Type

Full Time

Salary

USD 180,000 – 280,000

Level

Senior

Role

Data Engineer

Posted

Nov 8, 2025

Full TimeSenior

The role

Summary

Cursor is seeking an Analytics Engineer to build data products and drive strategic decisions across the company as one of their first analytics hires. This role involves working across the entire data stack, partnering with founders and area leads, and pioneering self-serve analytics using AI-powered tools.

What you'll do

Cross-functional Partnership: Partner with area leads in Finance, Growth, Product, and Agent Quality to understand data needs and build foundational datasets

Data Stack Enhancement: Evaluate new tooling and AI integrations while collaborating with Data Infrastructure and product engineers

Data Quality Assurance: Ensure quality and reliability of data in the warehouse through comprehensive testing and monitoring

Self-serve Analytics Culture: Guide development of vibrant self-serve data culture making insights accessible and trustworthy

Data Foundation Building: Establish data culture and foundations as early member of data team and first analytics engineer

Strategic Decision Support: Drive strategic decisions across product, go-to-market, and research through data products and analysis

Query Optimization: Optimize queries for speed and cost on datasets growing by billions of rows per day

End-to-end Data Products: Build comprehensive data products from conception to deployment and maintenance

What we look for

Technical

Analytics Engineering ExperienceMinimum 4+ years of full-time analytics engineering experience

Startup Data ExperienceExperience as early data member at hyper-growth startup or research organization

Large-scale Data OptimizationProven track record optimizing queries on datasets growing billions of rows per day

SQL/Python ProficiencyExpert-level proficiency in SQL and Python programming

Data Accuracy FocusDeep commitment to accuracy and attention to detail in data work

Modern Data StackExperience with modern data stack tools and self-serve analytics platforms

Education

Bachelor's DegreeBachelor's degree in Computer Science, Data Science, Mathematics, Statistics, or related technical field

Advanced Degree PreferredMaster's degree in relevant field preferred for advanced analytics roles

Experience

Scaling Data TeamsExperience scaling data operations from 10 to 50+ data scientists

Cross-functional CollaborationProven ability to work with technical and non-technical stakeholders

End-to-end Product DevelopmentWillingness to build data products beyond traditional job scope

High-growth EnvironmentExperience in fast-paced, rapidly scaling technology companies

Skills

Required skills

SQLAdvanced SQL for complex queries, optimization, and data modeling

PythonExpert Python programming for data processing and analysis

dbtExperience with data build tool for transformations and modeling

Data WarehousingDeep knowledge of modern data warehouse architectures and best practices

Analytics Engineering4+ years building and maintaining analytics infrastructure

Query OptimizationPerformance tuning for large-scale datasets and cost optimization

Nice to have

Machine LearningUnderstanding of ML workflows and model deployment in production

Real-time AnalyticsExperience with streaming data and real-time analytics platforms

Data VisualizationSkills in creating compelling dashboards and data storytelling

Cloud PlatformsExperience with AWS, GCP, or Azure data services

AI IntegrationKnowledge of integrating AI tools into data workflows

Startup ExperiencePrevious experience in fast-paced startup environments

Compensation & benefits

Salary

USD 180,000 – 280,000 (annual)

Stock options

Available

Benefits

Equity Package

Competitive equity compensation as early team member at high-growth AI startup

Health Insurance

Comprehensive medical, dental, and vision coverage

Office Environment

Beautiful in-person offices in North Beach San Francisco and Manhattan NYC with well-stocked libraries

Learning Resources

Access to cutting-edge AI tools and research resources for professional development

Flexible PTO

Generous paid time off policy for work-life balance

Equipment Stipend

Top-tier hardware and software tools for optimal productivity

Interview process

1
Initial Screening — 30-minute phone/video call with recruiting team to discuss background and interest
2
Technical Assessment — Take-home SQL and Python challenge focusing on data modeling and optimization
3
Technical Deep Dive — 90-minute technical interview covering analytics engineering concepts and system design
4
Stakeholder Interview — 60-minute session with area leads to discuss cross-functional collaboration approach
5
Founder Interview — 45-minute conversation with founders about vision, culture fit, and long-term goals
6
Final Round — On-site visit to SF or NYC office for team meetings and culture assessment