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# Software Development Engineer - Big Data

- **Company:** Zhl Zillow Home Loans, Llc
- **Location:** Los Angeles County, CA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $164,400.0 - $262,600.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, User Authentication, Automation of Tests, Big Data, Code Review, Data as a Services, Data Systems, Distributed Systems, Document-Oriented Databases, Information Lifecycle Management, Machine Learning, Operational Databases, Software Engineering, Data Streaming, Containerization, Data Pipelines, Databricks
- **Published:** October 16, 2026
- **Apply:** https://startup.jobs/senior-software-development-engineer-big-data-zhl-zillow-home-loans-llc-10488507

## About the Role

Bachelor's degree in Computer Science, Computer Engineering, or a related field.

 - 8+ years of experience in software engineering with a focus on building and operating data-intensive or distributed systems.

 - Experience designing, implementing, and supporting production data pipelines and platforms using modern big data, streaming, and/or cloud-native technologies.

 - Experience collaborating with cross-functional partners (e.g., product, analytics, and data science) to deliver scalable data solutions that support business, analytics, and AI needs.

 - Hands-on experience building agentic solutions or skills with major AI tools and internal platform tools used by many teams; Databricks is a plus.

 - Or an equivalent combination of education and experience.

## Description

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 data technologies, tools, and patterns to improve developer productivity, platform scalability, and end-to-end data lifecycle management.

 - Document data flows, interfaces, and operational runbooks, and contribute to shared standards and patterns for Big Data engineering across the organization.