eBay
Senior Business Intelligence Engineer
RemoteUnited States only
- Role
- Data Engineering
- Experience
- Senior
- Company size
- Enterprise
$118.8k–$205.6k/yr
Check eligibility
Open to US only. Set where you work from to check your eligibility.
No BS summary
Senior BI/data platform engineer with 5+ years in BI engineering, data engineering, or data platform development. Must have strong ClickHouse, Python ETL, and advanced SQL, plus experience integrating sources like Elasticsearch, SQL Server, APIs, and files. Remote United States only; no U.S. visa sponsorship for remote roles.
Core skills
ClickHousePythonSQL
Required skills
ElasticsearchSQL ServerAPIs
Optional skills
Node.jsNext.jsTypeScriptReactAirflowPrefectDagsterJavaScript
What you'll do
- 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.
- Work alongside business partners to grasp 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.
- Help develop and build natural-language queries over approved datasets and reports.
- Help develop and build AI-assisted explanations of important metrics, trends, anomalies, and report logic.
- Help develop and build metadata-aware report search and documentation lookup.
- Help develop and build AI-assisted SQL or query generation with validation and guardrails.
- Help develop and build automated report commentary and business insight generation.
- Help develop and build data quality explanations and anomaly investigation workflows.
- Help develop and build internal AI tools for faster ETL code, tests, documentation, and reporting component development.
What they require
- 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 for analytical queries, joins, aggregations, window functions, and query tuning.
- Experience in collecting and combining data from systems such as 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 in crafting APIs or backend services for reporting and analytics.
- Preferred: Knowledge of Elasticsearch query patterns, indexing concepts, and large-scale search/log analytics data extraction.
- Preferred: Openness to learning TypeScript, JavaScript, and current frontend technologies if not already familiar.
- Remote roles are not eligible for U.S. visa sponsorship.
Benefits
- Target bonus and restricted stock units may be included as applicable.
- Full range of medical, financial, and/or other benefits.
- 401(k) eligibility.
- Various paid time off benefits, such as PTO and parental leave.
- 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.
American multinational internet corporation that manages eBay.com
Details
Visa sponsorshipNo
$118.8k–$205.6k/yr