AI Analytics Engineer, Traffic

eBay

Confirmed live today High trust

Quick summary

Work type
On-site
Location
Austin, TX
Salary
$80,800–$143,600 / yr
Posted
1 day ago
Freshness
Confirmed live today

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $182k
This role $112k
$63k most similar roles pay here $242k

This role pays less than 95% of similar roles. Most pay $145,562–$219,275 — the shaded band above. At the midpoint, this role pays about $112k versus about $182k for comparable roles.

Based on 240 similar postings.

Employer

About eBay

eBay is a global e-commerce company that operates an online marketplace connecting buyers and sellers for a wide range of new and used goods.

eBay currently has 33 open roles on FindRole.

Listed pay typically runs $149,200–$214,700 across 33 roles with salary data.

Most-posted roles

View all roles at eBay

At a glance

TL;DR · AI Analytics Engineer, Traffic

As an AI Analytics Engineer on the Traffic team, you will design and operate data products and analytical systems to explain, forecast, and optimize traffic behavior across platforms. You will transform production telemetry—including logs, metrics, traces, and traffic events—into trusted datasets, scalable pipelines, and ML-ready features for use cases like anomaly detection, incident prediction, and capacity forecasting. The role involves building dashboards to monitor latency, availability, and error rates while using statistical techniques to identify patterns in reliability outcomes. You will utilize Python, SQL, Spark, Databricks, Flink, Airflow, dbt, BigQuery, Snowflake, and Kafka to manage data warehouse or lakehouse concepts and distributed processing. This role solves critical infrastructure challenges by connecting production telemetry with platform efficiency and long-term scalability to improve overall system performance and reliability.

What you'll do

  • Transform large-scale telemetry and traffic signals into high-quality datasets and data products.
  • Build scalable data and feature pipelines to power AI forecasting and anomaly detection.
  • Develop dashboards to monitor latency, availability, error rates, and regional behavior.
  • Apply statistical techniques to identify patterns and quantify the drivers of traffic outcomes.
  • Implement quality checks, validation, and monitoring for critical analytics workflows.
  • Convert logs, metrics, and traces into trusted datasets for engineering and product teams.

What we're looking for

  • Master’s degree in Computer Science, Engineering, Data Science, or a related field.
  • 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 in data modeling, debugging, and building reliable batch or streaming workflows.
  • Solid understanding of data warehouse or lakehouse concepts, distributed processing fundamentals, and Linux basics.
  • Familiarity with logs, metrics, and traces to improve platform performance and reliability.
  • Experience with technologies such as Spark, Databricks, Flink, Airflow, dbt, BigQuery, Snowflake, Kafka, or similar tools.
  • A thoughtful, collaborative approach to problem-solving (preferred).
  • Interest or experience in SLI/SLO reporting, incident analytics, performance attribution, or traffic-related infrastructure concepts (preferred).

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