below marketmost similar roles pay hereabove market
This role pays more than
82%
of similar roles. Most pay
$149,500–$200,000
— the blue band above.
At the midpoint, this role pays about
$214k
versus about
$175k
for comparable roles.
Based on 240 similar postings.
Employer
About Zillow
Zillow Group is a leading real estate and rental marketplace providing consumers with data, tools, and services to find, buy, sell, rent, and finance homes, and connecting buyers with agents and lenders. Industry: Real Estate Technology & Marketplace
Zillow currently has
49 open roles
on FindRole.
Listed pay typically runs
$164,400–$262,600
across 40 roles with salary data.
The Senior Software Development Engineer - Big Data joins the Big Data Engineering team to build scalable data platforms, pipelines, and infrastructure powering analytics, machine learning, and AI-driven experiences. This role focuses on designing, building, and optimizing secure, observable data pipelines and services to process large, diverse datasets for real-time and batch workloads. Key responsibilities include architecting data models, leading technical design reviews, mentoring engineers on data quality and resiliency, and implementing automated testing and monitoring. The engineer will specifically build the company context layer, agentic platform tools, authentication, and APIs. Required expertise includes software engineering for data-intensive or distributed systems, cloud-native technologies, and experience with agentic solutions or major AI tools. Databricks experience is considered a plus for these big data engineering tasks.
What does a Software Development Engineer earn?
Median $169050 from 224 postings across 18 companies.
Architect and implement scalable, secure, and observable data pipelines for large, diverse datasets.
Design and optimize data models and storage patterns for high-volume real-time and batch workloads.
Lead technical design reviews and provide mentorship on data quality, resiliency, and operational excellence.
Translate business requirements into production-grade data solutions and APIs for cross-functional teams.
Implement automated testing, monitoring, and alerting to improve data service reliability and incident response.
Evaluate and introduce new big data technologies and patterns to improve platform scalability.
Build the company context layer and agentic platform tools, authentication, and APIs.
Document data flows, interfaces, and operational runbooks to establish shared engineering standards.
What we're looking for
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 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 (preferred).
Experience with Databricks (preferred).
An equivalent combination of education and experience is acceptable.