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eBay Inc.

AI Analytics Engineer - Traffic

eBay Inc.
Austin, TX $81k - $144k/yr Full time Posted 2d ago
Artificial Intelligence Big Data Data Data Analysis Data Analytics Data Integration Data Pipeline Data Platform Data Processing Database Databases Network Traffic Analysis Real Time Analytics Reporting and Analytics SQL Streaming Data
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Job Description

Austin-based AI Analytics Engineer role on eBay’s Traffic team focused on turning telemetry into trusted datasets, ML-ready features, and analytics that improve traffic performance and reliability.

Responsibilities

  • Convert large-scale telemetry and traffic signals into high-quality datasets and data products to improve organizational 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
  • Create dashboards and analytical experiences to understand latency, availability, error rates, saturation, regional behavior, and routing changes across the platform
  • Apply statistical and analytical methods to identify patterns, quantify impact, and surface key drivers of traffic and reliability outcomes
  • Increase confidence in analytics by implementing 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

  • Education: 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
  • Programming: Strong Python and SQL skills, including data modeling, debugging, and building reliable batch and/or streaming workflows
  • Data systems: Understanding of data warehouse or lakehouse concepts, distributed processing fundamentals, and Linux basics
  • Observability context: Familiarity with logs, metrics, and traces, and how observability data supports platform performance and reliability
  • Tools: Experience with Spark, Databricks, Flink, Airflow, dbt, BigQuery, Snowflake, Kafka, or similar data and infrastructure technologies
  • Problem-solving: Thoughtful, collaborative approach, 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
  • Minimum experience: 2 years

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