Senior Software Development Engineer, Agentic AI Data Services

Stellenbeschreibung:

Responsibilities

  • 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

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Stelleninformationen

  • Veröffentlichungsdatum:

    31 Jul 2026
  • Standort:

    WorkFromHome
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt

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