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Zillow

Senior Software Development Engineer, Agentic AI Data Services

Zillow

Senior Software Engineer building high-scale data products for Zillow AI experiences. Collaborating with teams to improve data platform challenges and AI quality.

Posted 6/11/2026full-timeRemote • California, Connecticut, District of Columbia, Maryland, Massachusetts, New Jersey, New York, Washington • 🇺🇸 United StatesSenior💰 $160,900 - $257,100 per yearWebsite

Tech Stack

Tools & technologies
KafkaPythonSparkSQL

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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

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

ATS Keywords

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Hard Skills & Tools
PythonSQLDatabricksSparkKafkaSpark Structured StreamingMLflowOpenTelemetryCI/CDdata quality validation
Soft Skills
collaborationproblem-solvingcommunicationoperational ownershiproot-cause analysis