BI Engineer: Data Pipelines & Analytics

Snap; Palo Alto (CA); Hybrid; USD 169,000 - 196,000; Full time

Benefits offered by this job

Discretionary bonus

RSUs

Benefits package

Job summary

Snap Inc. is seeking a Business Intelligence Engineer to design and support datasets for critical business metrics in Palo Alto. You will collaborate across Engineering, Finance, and Operations to build data warehouses and automated reports that empower growth and decision-making.

The role requires 3+ years in BI/data engineering, proficiency with Python or R, and experience with data warehousing, ETL, and data visualization. Hybrid work is supported with strong collaboration across teams.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, Mathematics, or related quantitative field plus three (3) years of experience as a BI Engineer, Data Scientist, Data Engineer or closely related experience.
• Experience in building data pipelines to serve reporting needs.
• 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.

Responsibilities

• Work closely with stakeholders in Engineering, Finance, Operations and other teams to design, implement and support key datasets for timely access to business metrics.
• Collaborate with Fintech and Finance teams to build the Financial Data warehouse and reports.
• Deliver ETL pipelines that enable self-service for non-technical users.
• Orchestrate ETL pipelines using Airflow and BigQuery and deliver reusable reporting datasets.

Skills

Data pipelines

Data modeling

Python

R

Java/Scala

BigQuery

Airflow

Communication

Education

Bachelor's degree in CS/CE/Math

Tools

Google BigQuery

Airflow

Job description

Snap Inc. is seeking a Business Intelligence Engineer to design and support datasets for critical business metrics in Palo Alto. You will collaborate across Engineering, Finance, and Operations to build data warehouses and automated reports that empower growth and decision-making.

The role requires 3+ years in BI/data engineering, proficiency with Python or R, and experience with data warehousing, ETL, and data visualization. Hybrid work is supported with strong collaboration across teams.