Senior Software Engineer

. Lead complex technical projects involving multiple cross-functional stakeholders to proactively and automatically identify and triage risks on the Pinterest platform .

Posted 11/4/2026full-timeRemote • California • United StatesSenior💰 $203,000 - $254,667 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing scalable, maintainable services for risk identification and quantification, alongside strong capabilities in Python, SQL, and Spark for data processing and analysis. Proven ability to lead technical projects, mentor engineers, and drive architectural improvements in complex systems.

Highest-signal resume keywords

Python ProgrammingSQL Query OptimizationSpark ETL TransformationsJupyter Notebook PrototypingSoftware Engineering Best Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ProcessingAPI DevelopmentAutomationTestingDebuggingPerformance OptimizationComplex JoinsData ModelingBatch and Streaming WorkloadsAI-Driven Workflows

Soft Skills

MentoringCross-Functional CollaborationProblem SolvingProcess Improvement

Tools & Technologies

Git Version ControlAutomated ReportingMeasurement MethodologiesReproducible Analyses

Industry Keywords

Data ScienceAnalyticsSoftware EngineeringDistributed SystemsRisk Engineering

Tech Stack

Tools & technologies

Distributed SystemsETLPythonSparkSQL

About the role

Key responsibilities & impact

Lead complex technical projects involving multiple cross-functional stakeholders to proactively and automatically identify and triage risks on the Pinterest platform
Design and drive adoption of robust quality and reliability frameworks across teams
Design and implement scalable, maintainable services providing automated, self-service, and reliable platforms for identifying and quantifying risks at scale
Drive architectural improvements and technical debt reduction by defining software engineering approaches for measurement, system reliability, and reproducibility
Mentor junior engineers and partners across teams on engineering best practices
Identify process gaps and refine team workflows
Independently triage and lead resolutions of complex production issues related to automated reporting, measurement methodologies, and proactive risk engineering

Requirements

What you’ll need

Master’s degree (or its foreign degree equivalent) in Data Science, Analytics, Computer Science, or closely related quantitative discipline
Two (2) years of experience in the job offered or in a software engineer or data analytical/data science-related position
At least one year of experience with Python, including scripting, API development, automation, data processing, testing, debugging, and performance optimization
At least one year of experience with SQL, including complex joins, aggregations, window functions, data modeling, query optimization, and validation of business metrics
At least one year of experience with Spark, including batch and streaming workloads, ETL transformations, performance tuning, partitioning strategies, and scalable processing of high-volume datasets
At least one year of experience with Jupyter Notebook for exploratory data analysis, prototyping models and algorithms, documenting technical findings, visualizing results, and reproducible analyses
At least one year of experience with Git-based version control, including branching strategies, pull requests, code reviews, conflict resolution, release management, and collaborative development workflows
At least one year of experience designing, developing, testing, deploying, and operating production-quality software
At least one year of experience designing large-scale distributed systems
At least one year of experience designing and implementing AI-driven agentic workflows
Qualified applicants for U.S. roles must satisfy applicable work authorization requirements

Benefits

Comp & perks

Full-time telecommuting is an option
Flexibility to do your best work