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Closed on October 18, 2026.
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AI Analytics Engineer - Traffic
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
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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