Senior Big Data Engineer — Remote AI Pipelines

Zillow Group Inc.

United States

On-site

USD 170,000 - 260,000

Full time

5 days ago

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Job summary

Zillow Group is seeking a Senior Software Development Engineer, Big Data to design, build, and optimize scalable data pipelines and infrastructure powering analytics and AI capabilities across the company.

You will architect secure, observable data services; collaborate with product, analytics, and data science teams; lead reviews and mentor engineers; and drive end-to-end data lifecycle management across real-time and batch workloads.

Qualifications

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.

Responsibilities

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.
Build the company context layer and agentic platform tools, authentication, and APIs that teams across Zillow use at scale.