Senior Business Intelligence Engineer

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $118.8k - $205.6k / year

⏰ Full Time

🟠 Senior

📊 Business Intelligence Developer

🦅 H1B Visa Sponsor

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eBay

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1995

🛍️ eCommerce

👥 B2C

🏪 Marketplace

💰 Post-IPO Debt on 2022-11

eCommerce • B2C • Marketplace

eBay is a global eCommerce marketplace that allows individuals and businesses to buy and sell a wide variety of goods and services online. Founded in 1995, eBay provides a platform for auction-style sales as well as fixed-price listings, making it a go-to destination for shoppers looking for unique items. Its commitment to user experience includes features that enhance browsing, personalization of content, and seller tools to improve their market presence.

📋 Description

• 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 • Optimize ClickHouse query efficiency for dashboards, reports, and high-volume reporting tasks • Build dimensional models, reporting marts, and reusable data assets • Collaborate with business partners to understand reporting requirements and provide actionable dashboards and reports • 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 • Develop natural-language queries over approved datasets and reports • Create AI-assisted explanations of metrics, trends, anomalies, and report logic • Implement metadata-aware report search and documentation lookup • Develop AI-assisted SQL or query generation with validation and guardrails • Automate report commentary and business insight generation • Build data quality explanations and anomaly investigation workflows • Develop internal AI tools for ETL code, tests, documentation, and reporting components • Collaborate with business, engineering, and product teams on high-impact initiatives

🎯 Requirements

• 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 • Advanced SQL skills, including analytical queries, joins, aggregations, window functions, and query tuning • Experience collecting and combining data from Elasticsearch, SQL Server, APIs, and file-based sources • Ability to convert business requirements into scalable technical solutions through direct collaboration with business partners • Excellent debugging and problem-solving skills for data pipelines, SQL queries, and reporting logic • Preferred: experience with Node.js, Next.js, TypeScript, React, or modern frontend development • Preferred: experience crafting APIs or backend services for reporting and analytics • Preferred: experience with Airflow, Prefect, Dagster, or custom Python schedulers • Preferred: knowledge of Elasticsearch query patterns, indexing concepts, and large-scale search/log analytics data extraction • Openness to learning TypeScript, JavaScript, and current frontend technologies • Remote roles are not eligible for U.S. visa sponsorship

🏖️ Benefits

• Target bonus • Restricted stock units (as applicable) • Medical benefits • Financial benefits • 401(k) eligibility • Paid time off (PTO) • Parental leave • Ongoing education • Remote work arrangement