AI Analytics Engineer - Traffic

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