AI Analytics Engineer - Traffic

eBay • Austin, TX

2d • $80,800 - $143,600

About The Position

The AI Analytics Engineer on eBay’s Traffic team designs and operates data products and analytical systems to explain, forecast, and optimize traffic behavior across eBay platforms. The role turns production telemetry—including logs, metrics, traces, and traffic events—into trusted datasets, scalable pipelines, and ML-ready features. It works across engineering, SRE, platform, application, and product teams to support platform performance, reliability, and efficiency at scale.

The position builds data and feature pipelines for AI and forecasting use cases such as anomaly detection, incident prediction, capacity forecasting, and traffic attribution. It also delivers dashboards and analytical experiences that help teams understand latency, availability, error rates, saturation, regional behavior, and routing changes. The engineer applies statistical and analytical techniques to identify patterns and drivers of traffic and reliability outcomes, while improving confidence in data through quality checks, validation, freshness monitoring, lineage-minded practices, and alerting.

The role does not offer visa sponsorship. The stated base pay range is $80,800–$143,600; actual pay may vary based on factors including location, skills, and experience. Total compensation may also include a target bonus, restricted stock units where applicable, and benefits such as medical, financial, 401(k), and paid time off benefits.

Requirements

• Master’s degree in Computer Science, Engineering, Data Science, or a related field; alternatively, a bachelor’s degree in a related field plus at least 2 years of experience in analytics engineering, data engineering, ML data pipelines, or similar work.
• Strong programming skills in Python and SQL.
• 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 understanding of how observability data can improve platform performance and reliability.
• Thoughtful, collaborative approach to problem-solving.

Nice To Haves

• Experience with technologies such as Spark, Databricks, Flink, Airflow, dbt, BigQuery, Snowflake, Kafka, or similar data and infrastructure tools.
• Interest or experience in SLI/SLO reporting, incident analytics, performance attribution, or traffic-related infrastructure concepts.

Responsibilities

• Turn 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.
• Deliver dashboards and analytical experiences covering latency, availability, error rates, saturation, regional behavior, and routing changes.
• Use statistical and analytical techniques to identify patterns, quantify impact, and uncover drivers of traffic and reliability outcomes.
• Implement data quality checks, validation, freshness monitoring, lineage-minded practices, and alerting for critical analytics workflows.
• Collaborate with Traffic Engineering, SRE, Platform, Application, and Product teams to connect production telemetry with customer experience, platform efficiency, and long-term scalability.

Benefits

• Medical benefits
• Financial benefits
• 401(k) eligibility
• Paid time off benefits, including PTO and parental leave
• Target bonus and restricted stock units may be included in total compensation, as applicable

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level