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Senior Software Development Engineer, Agentic AI Data Services
ZillowSenior 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 & technologiesKafkaPythonSparkSQL
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
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonSQLDatabricksSparkKafkaSpark Structured StreamingMLflowOpenTelemetryCI/CDdata quality validation
Soft Skills
collaborationproblem-solvingcommunicationoperational ownershiproot-cause analysis