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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # software engineering engineer java python sql - **Company:** Pinterest - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $177,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Data Validation, Data Systems, Distributed Systems, Python (Programming Language), Performance Tuning, Software Engineering, SQL Databases, Data Streaming, Strategies of Testing, Kotlin, Information Technology, Data Pipelines - **Published:** July 27, 2026 - **Apply:** https://www.workingnomads.com/job/go/1755526/ ## About the Role * BS+ in Computer Science (or related field) or equivalent practical experience. * 8+ years of professional software engineering experience, with a focus on data-intensive systems. * Strong proficiency building and operating large-scale data pipelines (batch and/or streaming) using Java/Scala/Kotlin or Python, plus SQL. * Experience designing reliable services and APIs, with solid foundations in distributed systems, data modeling, and performance optimization. * Demonstrated ability to transform a team's engineering workflow using AI-from pilot to broad adoption-through tooling, enablement, and change leadership, with clear metrics (cycle time, defect rate, on-call load, incident rate). * Experience in AdTech and measurement products (e.g., conversion lift, brand lift) or adjacent experimentation/analytics platforms. * Working knowledge of experimentation and causal measurement fundamentals (randomization, holdouts, confounders, significance, power). * Practical experience with backtesting, controlled rollouts, and continuous verification for correctness in measurement/analytics systems. * Demonstrated ability to lead large cross-functional initiatives, drive alignment, and deliver measurable impact through technical leadership. ## Description We're seeking a Staff Engineer to lead the architecture and technical direction of the measurement platform behind how advertisers understand the impact of their investment on Pinterest. You'll drive end-to-end platform evolution (pipelines, services, correctness, reliability), partner closely with Product and Data Science, and raise the bar on rigor, trust, and operational excellence in ads measurement., * Own end-to-end architecture and delivery of features for lift measurement products, from design and implementation through rollout and ongoing reliability. * Design, build, and optimize large-scale data pipelines that power study setup, experiment execution, and results computation. * Drive AI enablement across the team by building the supporting tooling and processes (CI checks, test strategy, templates), coaching engineers, and ensuring adoption results in sustained improvements to delivery speed and system quality. * Translate measurement methodology into production systems: partner with Data Science to operationalize study design requirements into pipelines, services, tooling, and guardrails. * Build "rigor by default" mechanisms: automated data validation, randomization/holdout integrity checks, imbalance diagnostics, and continuous verification/backtesting. * Raise the bar on data quality and trust: define SLAs, build monitoring and anomaly detection, and lead root-cause analysis for pipeline and study issues. * Mentor and up level engineers, driving strong technical execution and cross-functional collaboration. ## Related Videos - [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) - [Kotlin Multiplatform - True power of native code reuse](https://www.wearedevelopers.com/videos/4-kotlin-multiplatform-true-power-of-native-code-reuse) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Why Kotlin is the better Java and how you can start using it](https://www.wearedevelopers.com/videos/661-why-kotlin-is-the-better-java-and-how-you-can-start-using-it) - [The Data Mesh as the end of the Datalake as we know it](https://www.wearedevelopers.com/videos/156-the-data-mesh-as-the-end-of-the-datalake-as-we-know-it) ## Related Articles - [Software Engineer Career: Things You Should Know](https://www.wearedevelopers.com/magazine/143-software-engineer-career-things-you-should-know) - [Best Countries for Software Engineers](https://www.wearedevelopers.com/magazine/267-best-countries-for-software-engineers) - [What is Software Engineering?](https://www.wearedevelopers.com/magazine/289-what-is-software-engineering) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Is Software Engineering Hard?](https://www.wearedevelopers.com/magazine/448-is-software-engineering-hard) - [How Much Does a Software Engineer Make? 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