AI Traffic Analytics Engineer: Data Pipelines & Forecasting

eBay; Austin (TX); On-site; USD 81,000 - 144,000; Full time

Job summary

eBay is seeking an AI Analytics Engineer on the Traffic team to design and operate data products, turning logs, metrics, traces into trusted datasets and ML-ready features. You will work across engineering, SRE, platform, application, and product teams to turn telemetry into scalable pipelines and features for forecasting and anomaly detection.

This role focuses on improving platform performance, latency, availability, and regional behavior while growing in a collaborative data environment with

Qualifications

• Master’s degree in Computer Science, Engineering, Data Science or related field (or Bachelor’s with 2+ years analytics experience).
• Strong Python and SQL programming; data modeling and reliable batch/streaming workflows.
• Understanding of data warehouse/lakehouse concepts and distributed processing fundamentals.

Responsibilities

• Turn large-scale telemetry into high-quality datasets and data products for visibility and decision-making.
• Build scalable data and feature pipelines for AI/forecasting use cases like anomaly detection and capacity forecasting.
• Deliver dashboards and analytics to monitor latency, availability, and regional behavior across platforms.
• Use statistics to identify patterns and drivers of traffic and reliability outcomes.
• Implement data quality checks, freshness monitoring, and lineage-aware practices.

Skills

Python

SQL

Data modeling

Batch/Streaming workflows

Observability concepts

Education

Master’s degree in CS/Engineering/Data Science

Bachelor’s + 2+ years analytics experience

Tools

Spark

Databricks

Flink

Airflow

dbt

BigQuery

Snowflake

Kafka

Job description

eBay is seeking an AI Analytics Engineer on the Traffic team to design and operate data products, turning logs, metrics, traces into trusted datasets and ML-ready features. You will work across engineering, SRE, platform, application, and product teams to turn telemetry into scalable pipelines and features for forecasting and anomaly detection.

This role focuses on improving platform performance, latency, availability, and regional behavior while growing in a collaborative data environment with