Senior Software Development Engineer - Big Data
Z
Zillow GroupBig data engineering
U.S. employees may live in any of the 50 United States, with limited exceptions.Full-TimeSenior
SalaryUSD 164400 - 262600 / year. In California, Connecticut, Maryland, Massachusetts, New Jersey, New York, Washington state, and Washington DC the standard base pay range for this role is $164,400.00 - $262,600.00 annually. In Colorado, Hawaii, Illinois, Maine, Minnesota, Nevada, Ohio, Rhode Island, Vermont, and Virginia the standard base pay range for this role is $156,200.00 - $249,400.00 annually. In addition to a competitive base salary this position is also eligible for equity awards.
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Job Details
- Experience
- 8+ years of experience in software engineering with a focus on building and operating data-intensive or distributed systems.
- Required Skills
- Data modelingSoftware EngineeringDatabricksDistributed Systems
Requirements
- Bachelor's degree in Computer Science, Computer Engineering, or a related field, or an equivalent combination of education and experience.
- 8+ years of software engineering experience focused on building and operating data-intensive or distributed systems.
- Experience designing, implementing, and supporting production data pipelines and platforms.
- Experience with modern big data, streaming, and/or cloud-native technologies.
- Experience collaborating with product, analytics, and data science partners to deliver scalable data solutions.
- Hands-on experience building agentic solutions or skills with major AI tools and internal platform tools used by many teams.
- Databricks experience is a plus.
Responsibilities
- Architect and implement scalable, secure, and observable data pipelines and services for collecting, processing, and storing large, diverse data sets.
- Design and optimize data models, storage patterns, and processing frameworks for high-volume, real-time, and batch workloads.
- Lead technical design reviews and code reviews, and guide engineers on data quality, resiliency, and operational excellence.
- Collaborate with product, analytics, data science, platform engineering, and company stakeholders to translate requirements into production-grade data solutions and APIs.
- Implement and maintain automated testing, monitoring, and alerting for data services.
- Improve data-service reliability, data quality, and incident response.
- Evaluate and introduce big data technologies, tools, and patterns to improve productivity, scalability, and data lifecycle management.
- Document data flows, interfaces, and operational runbooks, and contribute shared Big Data engineering standards and patterns.
- Build the company context layer and agentic platform tools, authentication, and APIs used across Zillow.
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