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Senior Software Development Engineer - Big Data

Zillow Group•United States•🌍 Remote
Full-time7-15
$164K - $263K
per year
👁️ 0 views•📝 0 applications•Posted 10/19/2026•Expires 12/18/2026
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Job Description

About the team The Big Data Engineering team builds the scalable data platforms, pipelines, and infrastructure that power analytics, machine learning, and AI-driven experiences across Zillow. Our newest effort is a shared AI context and agent platform.

Working at the intersection of software engineering and data, this team creates reliable, high-quality data products that help teams make informed decisions and deliver great customer experiences.

We value collaboration, craftsmanship, and continuous improvement, and we're excited by the opportunity to solve complex data challenges at scale.

About the role The Senior Software Development Engineer, Big Data designs, builds, and optimizes scalable data pipelines and infrastructure that power analytics and AI-driven capabilities across Zillow.

This role applies advanced software engineering and big data expertise to create reliable, high-quality data products that enable teams to deliver innovative customer experiences and data-informed decisions.

You will get to Architect and implement scalable, secure, and observable data pipelines and services that collect, process, and store large, diverse data sets to support analytics, machine learning, and product use cases.

Design and optimize data models, storage patterns, and processing frameworks to meet performance, reliability, and cost objectives for high-volume, real-time, and batch workloads.

Lead technical design reviews, code reviews, and best-practice guidance for Big Data solutions, mentoring engineers on topics such as data quality, resiliency, and operational excellence.

Collaborate with product, analytics, data science, and platform engineering teams, and company stakeholders, to translate business and modeling requirements into robust, production-grade data solutions and APIs.

Implement and maintain automated testing, monitoring, and alerting for data services, proactively improving reliability, data quality, and incident response. Evaluate and introduce new big d

Required Skills

Big DataSoftware EngineeringData PipelinesData InfrastructureAnalyticsMachine LearningAIData ScienceData QualityResiliencyOperational ExcellenceAutomated TestingMonitoringAlertingAPIsData StorageData ProcessingData ModelsStorage PatternsProcessing Frameworks

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