ebay
Senior Business Intelligence Engineer
At a Glance
- Location
- United States
- Work Regime
- remote
- Employment
- Full time
- Experience
- 5+ years
- Compensation
- expected in the range below: $118,800 - $205,600 Base pay offered may vary dep
- Posted
- 2026-07-21
Key Requirements
Required Skills
Domain Knowledge
- Automation
- Engineering
Requirements
Assist in developing frontend reporting experiences with Next.js, TypeScript, Node.js, Tremor, AG Grid, and open-source charting libraries.
Develop AI-enabled reporting features for natural language queries and business performance insights.
Maintain technical documentation, data dictionaries, pipeline documentation, runbooks, and reporting definitions.
5+ years of experience in business intelligence engineering, data engineering, or data platform development.
Extensive experience with ClickHouse in live or nearly live settings.
Strong proficiency in Python for ETL, data processing, automation, and production data workflows.
Compensation & Benefits
Build a modern BI and analytics platform from the ground up!
Work with high-performance analytical technologies such as ClickHouse and Parquet.
Solve meaningful challenges related to data quality, reporting accuracy, scalability, and business visibility.
Help build the future of AI in business reporting.
Collaborate with business, engineering, and product teams on high-impact initiatives.
Join a group that appreciates accountability, technical skill, ongoing education, and hands-on innovation.
Responsibilities
At eBay, Nexpart plays a meaningful role in our mission by offering a B2B marketplace for professional automotive and truck parts companies.
Our engineering team builds a world-class business intelligence and reporting platform.
This platform helps our teams make faster and more accurate decisions using data from Elasticsearch, SQL Server, Dimensional Insights, flat files, and APIs.
As a Senior Business Intelligence Platform Engineer, you will be responsible for crafting, developing, and improving our data platform to ensure smooth data flow and valuable analytics.
Develop, launch, and support a scalable BI and reporting platform using ClickHouse as the primary analytical database.
Develop robust Python-based ETL and ELT pipelines to extract, transform, validate, and load data from various sources.