AI Analytics Engineer - Traffic

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

Benefits offered by this job

Target bonus

Restricted stock units

Medical benefits

401(k) eligibility

Paid time off

Job summary

eBay Inc. is seeking a data analytics engineer to drive AI-powered analytics across platforms. You will convert telemetry into data products, build scalable pipelines, and develop dashboards to monitor latency, availability, and routing changes.

The role emphasizes collaboration with TE, SRE, Platform, App, and Product teams to improve reliability and scalability of analytics workflows.

Qualifications

• Master’s degree in Computer Science, Engineering, Data Science, or related field.
• Or Bachelor’s degree with 2+ years analytics/data engineering experience.
• Strong Python and SQL programming, data modeling, and debugging.
• Experience building reliable batch and/or streaming data workflows.
• Familiarity with data warehouse or lakehouse concepts, distributed processing, and Linux basics.
• Experience with Spark, Databricks, Flink, Airflow, dbt, BigQuery, Snowflake, Kafka, or similar.

Responsibilities

• Convert telemetry and traffic signals into high-quality datasets and data products.
• Build scalable data pipelines and features for AI and forecasting, including anomaly detection and capacity forecasting.
• Develop dashboards and analytic experiences covering latency, availability, error rates, and routing changes.
• Apply statistical methods to identify patterns, quantify impact, and surface drivers.
• Improve analytics confidence with data quality checks, validation, and alerting.
• Collaborate with Traffic Engineering, SRE, Platform, App, and Product teams to connect telemetry to user experience.

Skills

Python

SQL

Data modeling

Debugging

Batch/Streaming

Linux basics

Observability

SLI/SLO reporting

Incident analytics

Education

Master’s degree in Computer Science, Engineering, Data Science, or related field

Bachelor’s degree in a related field plus 2+ years experience

Tools

Spark

Databricks

Flink

Airflow

dbt

BigQuery

Snowflake

Kafka

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