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Job Description

Drive AI-powered analytics that explain, forecast, and optimize traffic behavior across eBay platforms.

Responsibilities

  • Convert large-scale telemetry and traffic signals into high-quality datasets and data products that improve visibility, trust, and decision-making.
  • Build scalable data and feature pipelines for AI and forecasting use cases, including anomaly detection, incident prediction, capacity forecasting, and traffic attribution.
  • Develop dashboards and analytical experiences covering latency, availability, error rates, saturation, regional behavior, and routing changes.
  • Apply statistical and analytical techniques to find meaningful patterns, quantify impact, and surface drivers behind traffic and reliability outcomes.
  • Increase analytics confidence by implementing data quality checks, validation, freshness monitoring, lineage-minded practices, and alerting for critical workflows.
  • Partner with Traffic Engineering, SRE, Platform, Application, and Product teams to connect production telemetry to customer experience, platform efficiency, and long-term scalability.

Requirements

  • Master’s degree in Computer Science, Engineering, Data Science, or a related field, or Bachelor’s degree in a related field plus 2+ years of experience in analytics engineering, data engineering, ML data pipelines, or similar work.
  • Strong programming skills in Python and SQL, including experience with data modeling, debugging, and building reliable batch and/or streaming workflows.
  • Solid understanding of data warehouse or lakehouse concepts, distributed processing fundamentals, and Linux basics.
  • Familiarity with logs, metrics, and traces, and how observability data can improve platform performance and reliability.
  • Experience with tools such as Spark, Databricks, Flink, Airflow, dbt, BigQuery, Snowflake, Kafka, or similar data and infrastructure technologies.
  • A thoughtful, collaborative approach to problem-solving, with interest or experience in SLI/SLO reporting, incident analytics, performance attribution, or traffic-related infrastructure concepts.

Technologies

  • Python
  • SQL
  • Spark
  • Databricks
  • Flink
  • Airflow
  • dbt
  • BigQuery
  • Snowflake
  • Kafka
  • Linux

Benefits

  • Target bonus
  • Restricted stock units (as applicable)
  • Full range of medical, financial, and/or other benefits
  • 401(k) eligibility
  • Paid time off benefits, such as PTO and parental leave

Additional Details

  • Location: Austin, TX (onsite)
  • Base pay range: USD 80,800 - 143,600 per year
  • Remote roles are not eligible for U.S. visa sponsorship

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