Senior Software Development Engineer, Agentic AI Data Services

🔥 0 minutes ago

🏄 California, Connecticut, +6 more states – Remote

🏄 California – Remote 🦌 Connecticut – Remote 🏛️ District of Columbia – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote ☕ Washington – Remote

💵 $160.9k - $257.1k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

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Zillow

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2006

🏠 Real Estate

🛍️ eCommerce

👥 B2C

💰 $4.1M Post-IPO Equity on 2012-12

Real Estate • eCommerce • B2C

Zillow is a leading real estate and property rental marketplace that provides comprehensive information on homes, apartments, and properties for sale or rent. It offers users tools to search for properties, calculate mortgage rates, and connect with real estate agents. The platform also features innovative algorithms that provide Zestimates, which are estimated market values of homes. Zillow is a go-to resource for individuals looking to buy, sell, or rent properties, as well as for agents and brokers who want to reach a wider audience.

📋 Description

• Build and operate scalable data platforms and shared data products that power Zillow’s next generation of AI experiences • Own and evolve trace and event data foundations that support analytics, online and offline evaluation, observability, governance, and future learning workflows • Design and operate production-grade batch, streaming, and near-real-time data pipelines using Databricks, Spark, Python, SQL, and modern lakehouse patterns • Improve platform reliability through schema management, data quality validation, alerting, anomaly detection, and production support for business-critical AI data products • Partner with engineering, analytics, and science teams to turn evolving AI data needs into reusable infrastructure and governed data products • Help define the long-term architecture for AI data systems, including data contracts, eventing patterns, retention approaches, and cleaner downstream interfaces

🎯 Requirements

• 5+ years of experience in big data engineering, data platform engineering, machine learning engineering, or a closely related field • Strong proficiency in Python and SQL • Experience building production-grade data systems on distributed platforms such as Databricks and Spark • Designed and operated scalable batch, streaming, or near-real-time pipelines and datasets for analytics, observability, and AI or ML use cases • Comfortable working with complex, high-volume event, telemetry, trace, or log-style datasets • Improved production reliability through schema evolution, ingestion safeguards, monitoring, alerting, root-cause analysis, and operational ownership • Experience with technologies and practices such as Kafka, Spark Structured Streaming, MLflow, OpenTelemetry, CI/CD, and Git-based workflows

🏖️ Benefits

• Competitive base salary • Equity awards based on factors such as experience, performance, and location