Opportunity at
PinterestStaff Software, Engineering – Analytics Engineering, Core Data Science
Pinterest operates a digital platform that helps users discover creative ideas, plan projects, and find personal inspiration. The company is currently hiring a full-time Staff Software…
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About This Role
Pinterest operates a digital platform that helps users discover creative ideas, plan projects, and find personal inspiration. The company is currently hiring a full-time Staff Software Engineer for its Analytics Engineering and Core Data Science group based in San Francisco. This position requires occasional on-site presence of one to two times per month for collaboration, allowing the worker to be located elsewhere in the country. In this position, the selected…
Job Description
Pinterest operates a digital platform that helps users discover creative ideas, plan projects, and find personal inspiration. The company is currently hiring a full-time Staff Software Engineer for its Analytics Engineering and Core Data Science group based in San Francisco. This position requires occasional on-site presence of one to two times per month for collaboration, allowing the worker to be located elsewhere in the country.
In this position, the selected engineer will direct analytics engineering personnel, establish testing and tracking standards, and develop scalable insights tooling. The role involves leveraging artificial intelligence technologies to accelerate data analysis and prototyping while maintaining strict quality oversight. Candidates should be capable of partnering closely with product management, research, design, and data science colleagues to build core data foundations for consumer and business applications.
This opportunity is well-suited for an experienced data professional with a quantitative background who possesses extensive technical proficiency in large-scale data manipulation, workflow orchestration, and cross-functional team leadership. Applicants must be comfortable evaluating and verifying AI-assisted engineering workflows while maintaining full ownership of technical outcomes and data privacy.
Responsibilities
- Manage and mentor a diverse analytics engineering team within an inclusive environment
- Formulate and communicate standard methodologies for instrumentation and experimentation to product engineering groups
- Create and iterate on artificial intelligence tools and analysis pipelines to deliver insights at scale
- Collaborate with data scientists and engineers to build self-service mechanisms for key datasets and metric investigations
- Produce detailed documentation for tools and datasets while guiding data democratization strategies
- Partner cross-functionally with researchers, designers, engineers, and product managers to support future platform experiences
Requirements
- Six or more years of data-focused professional experience within a fast-paced environment
- Proficiency in SQL or alternative database languages, alongside scripting languages such as Python or R
- Experience managing complex datasets involving nested structures, window functions, query optimization, and partitioning
- Background executing workflow orchestration and ETL or ELT operations with large directed acyclic graph data dependencies
- Demonstrated ability to utilize artificial intelligence for workflow speed and quality alongside rigorous verification practices
Qualifications
- Bachelor degree, Master degree, or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field, or equivalent experience
- Prior background in automation, anomaly detection, or infrastructure and workflow optimization
- Experience developing internal tooling designed to enhance engineering velocity
Core Skills
Benefits
- Eligibility for company equity
Frequently Asked Questions
What is the employment type and location for this role?
This is a full-time, on-site position based in San Francisco, California. The role requires being in the office for collaboration one to two times per month, allowing the employee to reside anywhere in the country.
Does the job posting specify a salary range?
Yes, the base salary range for US-based applicants is $177,185 to $364,795 USD, and the position is also eligible for equity.
What level of experience is required to apply?
Applicants must have six or more years of experience working with data in a fast-paced environment, along with a degree in a quantitative discipline or equivalent experience.
Is relocation assistance provided for this position?
No, this position is not eligible for relocation assistance.
Sample Interview Questions
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