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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer - **Company:** Pinterest - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $177,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Business Analytics Applications, Big Data, Dataspaces, Data Warehousing, Cursor (Graphical User Interface Elements), Digital Assets, Apache Spark, Information Technology, Apache Flink, Data Analytics, Data Pipelines - **Published:** August 25, 2026 - **Apply:** https://www.workingnomads.com/job/go/1813584/ ## About the Role * Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience. * 8+ years of relevant industry experience with large scale data warehouses, data tools and platforms. * 5+ years experience building data warehouses and tools around the data ecosystem with technologies such as Spark, Trino, Flink, Airflow, Querybook, Superset, DataHub, etc. * Ability to work with cross-functional partners across multiple organizations. * Hands-on experience building tools and data pipelines leveraging AI coding tools, e.g. Cursor, Claude Code, Codex, etc. * Hands-on experience building AI tools and platforms to accelerate data pipeline authoring, data analytics and engineering productivity. ## Description The Data Product Platform is mission-critical to accelerate data-driven decision-making at Pinterest on the foundation of 100s of thousands of tables and an exadata-scale data warehouse. We strive to provide effortless, efficient, and reliable data products and platforms that power the entire company. We achieve this by investing in two core areas: 1. Data Warehouse: Building and managing the foundational data warehouses that enable key analyses across both our core engagement and monetization products. 2. Analytical Velocity: Creating agentic analytical tools that empower internal data users to leverage our vast data assets and capable infrastructure effectively. We are seeking a Staff Software Engineer to provide technical leadership and contribute to the development of solutions across both these pillars. In this role, you will shape the vision and drive the execution of the solutions that handle increasing data volume, navigate business complexity, accelerate analytical velocity, and build the foundation for our next generation of agentic analytics products. If you are passionate about building world-class data ecosystems at massive scale, we invite you to come build with us! What you'll do: * Define and design Pinterest's data warehouse architecture, storage, and access patterns. * Lead ambiguous, highly challenging, and cross-functional initiatives across the data warehouse and agentic data analytics domains. * Mentor and elevate the technical bar for engineers, providing leadership on complex technical design, execution strategies, and critical trade-off decisions. * Collaborate with stakeholders across Product, Data Science, and Engineering teams to understand user needs, drive alignment and drive progress., * We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role. * This role will need to be in the office for in-person collaboration 1-2 times/quarter, and therefore can be situated anywhere in the country. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Harnessing the Power of Open Source's Newest Technologies](https://www.wearedevelopers.com/videos/1448-harnessing-the-power-of-open-source-s-newest-technologies) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [The Best X (Twitter) Accounts for Developers](https://www.wearedevelopers.com/magazine/294-the-best-x-twitter-accounts-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)