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# Business Intelligence Engineer

- **Company:** Snap Inc.
- **Location:** Palo Alto, United States
- **Experience:** Experienced
- **Salary:** $168,917.0 - $196,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Airflow, Data Analysis, BigQuery, Computer Engineering, Extract Transform Load (ETL), Data Visualization, Data Warehousing, Python (Programming Language), Object-Oriented Software Development, Data Processing, Information Technology, Google Bigquery, Tools for Reporting, Data Pipelines
- **Published:** September 24, 2026
- **Apply:** https://www.thejobnetwork.com/job/business-intelligence-engineer-4-509977509

## About the Role

Bachelor's degree or foreign equivalent in Computer Science, Computer Engineering, Mathematics or related quantitative field plus three (3) years of experience as a Business Intelligence Engineer, Data Scientist, Data Engineer or closely related experience., Knowledge and/or experience in:

 * Experience in building data pipelines to serve reporting needs.
 * Experience with data modeling, data warehousing, and building ETL pipelines.
 * Proficiency with Python or R for data analysis, data visualization, data manipulation / transformation, and automation tasks.
 * Development experience in at least one object-oriented or scripting language: Python, Java or Scala.
 * Experience with Google BigQuery.
 * Experience with Airflow.
 * Ability to effectively communicate complex findings to non-technical stakeholders.

*Knowledge / experience / proficiency / ability means knowledge / experience / proficiency / ability sufficient to adequately perform the duties of the job being offered.

## Description

Work closely with stakeholders in Engineering, Finance, Operations and other teams to design, implement and support key datasets that provide timely access to key business metrics. Collaborate with Fintech team and teams across the Finance organization to help build the Financial Data warehouse and build reports to support automation and growth needs. Partner with non-technical customers to capture business needs and condense them into technical requirements for metrics or analytics-based projects. Deliver projects/data-pipelines that allow non-technical end-customers to self-serve. Orchestrate ETL Pipelines using Airflow and BigQuery. Deliver performant reporting datasets consumed through our visualization portals. Build reporting tools to facilitate consumption consistency across teams.


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