Lead BI Engineer - Data Pipelines & Insights (Equity)

Snap Inc.; Los Angeles (CA); On-site; USD 190,000 - 284,000; Full time

Benefits offered by this job

Paid parental leave

Comprehensive medical coverage

Mental health support

Equity (RSUs)

Job summary

Snap Inc. in Los Angeles, California is seeking a Business Intelligence Engineer for the People Team to lead BI and analytics engineering initiatives, build scalable data solutions, and translate insights into action.

You’ll work with engineering, People Science, and HR leadership to deliver data-informed decisions, design data pipelines, and mentor teammates while improving data quality and governance.

Qualifications

• Advanced SQL and Python skills with experience building data pipelines, models, and analytics solutions.
• Deep understanding of data warehouses, dimensional and semantic modeling, ETL/ELT pipelines, analytics layers, visualization tools, and self-service data products.
• Design reliable, scalable data architectures with focus on data quality, performance, maintainability and resilience.
• Ownership and accountability with ability to navigate complex problems and drive work with limited direction.
• Experience applying analytical methods (descriptive, regression, time series, hypothesis testing) using Python or R.
• Business acumen translating business questions into metrics, requirements, data solutions, and insights.
• Ability to communicate complex technical concepts clearly to executives, partners, analysts, and teams.
• Commitment to data privacy, security, governance, and responsible use of People data.

Responsibilities

• Lead high-impact BI and analytics engineering initiatives from definition to delivery.
• Translate business needs into technical requirements, evaluate tradeoffs, and prioritize solutions.
• Independently own workflows, manage timelines, dependencies, risks, and stakeholder communications.
• Design and architect scalable data pipelines, data models, and self-service analytics using SQL, Python, and BI tools.
• Own data products end-to-end including design, quality, monitoring, and maintenance.
• Translate complex findings into actionable insights for technical and non-technical audiences.
• Identify opportunities to simplify processes, improve data quality, and reduce manual work.
• Provide technical guidance and mentorship, contribute to standards and best practices.

Skills

Advanced SQL

Python

Data pipeline design

BigQuery

Airflow

Looker

Visier

Posit

Education

BS/BA in CS or related field

MS or PhD with post-grad experience

Tools

BigQuery

Looker

Airflow

Visier

Posit

Job description

Snap Inc. in Los Angeles, California is seeking a Business Intelligence Engineer for the People Team to lead BI and analytics engineering initiatives, build scalable data solutions, and translate insights into action.

You’ll work with engineering, People Science, and HR leadership to deliver data-informed decisions, design data pipelines, and mentor teammates while improving data quality and governance.