3 hours ago
Base Salary
$183k - $320k/yr
Responsibilities
- Develop and document instrumentation and experimentation standards with product engineering teams.
- Build scalable analysis pipelines and tooling for reliable insights, data structures, and metrics.
- Create tools and processes that provide Data Scientists and Engineers with trusted datasets, insights, and metric definitions.
- Identify data quality and discoverability gaps and contribute to reliable, well-governed data practices.
- Maintain documentation for tools, datasets, metrics, and operating practices.
- Partner with Product, Engineering, Data Science, Data Engineering, and Business Intelligence teams to inform product improvements.
- Use AI to accelerate analysis, prototyping, and iteration while verifying correctness and responsible use.
Requirements
- At least 4 years of experience delivering analytics engineering or data solutions in a fast-paced, data-driven environment.
- Experience using SQL and Python, R, or a comparable programming language with large, high-dimensional datasets, including nested data structures, window functions, query optimization, and data partitioning.
- Experience building and operating data workflows, including workflow orchestration, ETL/ELT pipelines, and DAG dependencies.
- Ability to translate open-ended partner needs into clear technical objectives and collaborate across Product, Engineering, Data Science, Data Engineering, and Business Intelligence.
- Experience using AI to improve day-to-day engineering workflows and critically evaluating AI-assisted work through testing, data validation, source-checking, or peer review.
- High integrity, ownership, and accountability when protecting sensitive data and making final decisions.
- Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field, or equivalent experience.
Benefits
- The role is eligible for equity.
- PinFlex work arrangement allows the position to be situated anywhere in the country, with in-office collaboration one to two times per month.
- The position is not eligible for relocation assistance.
About Pinterest
Pinterest builds a visual discovery and bookmarking platform where people search, save, and shop ideas across home, fashion, food, and more. The company monetizes primarily through advertising and shopping integrations, using visual search and recommendation systems to connect users and merchants. Founded in 2010 and headquartered in San Francisco, Pinterest is a public company on the NYSE (PINS) with around 482 million monthly users worldwide.