Lead Business Intelligence Engineer

Snap, Bellevue, Washington +1

Snap has this job in 1 other place

Los Angeles, California

The role

We are looking for a Business Intelligence Engineer for Snap’s People Team. This person will be a trusted business partner who brings together technical expertise, business acumen, and analytical rigor. They will work closely with engineering, People Science, business leaders, and HR leadership to lead business intelligence and analytics engineering initiatives, design scalable data solutions, deliver meaningful insights, and enable data-informed decision-making.

All jobs

Lead Business Intelligence Engineer

Snap, Bellevue, Washington +1

Snap has this job in 1 other place

Los Angeles, California

Posted pay

$162K–$284K

a year

Compared with similar jobs

This base pay is above the median for senior software engineering jobs in other US places.

Median: $188K a year
Other jobs in the group: 1,815

We compare the middle of each posted range. This is base pay as posted. The group does not include this job.

Location: Bellevue, Washington +1
Work type: Not given
Level: Senior
Experience: 6+ years
Skills in the job text: Python
SQL
GCP
Java
Airflow
BigQuery
Looker
R
Scala
Tableau
Posted: Sep 25, 2026
Last check: 56 min ago
Job type: Software engineering

Apply on the Snap site Sign in to save

The Snap site opens in a new tab.

See total pay at Snap on Levels.fyiBase, stock and bonus, as employees report it.

Snap

Open tech jobs: 97
With posted pay: 85%
Median posted base: $178K–$313K

About Snap: funding, hiring and pay

Snap

About Snap: funding, hiring and pay

Check my fit

Compare your résumé with this job. See where you match, what is missing and which lines to change.

The role

What you need

Knowledge, Skills & Abilities

Advanced SQL and Python skills, with experience designing and building reliable data pipelines, models, and analytics solutions, and the ability to leverage AI-assisted development and analytics tools responsibly; and willingness to adopt new technologies as needs evolve.
Deep understanding of the data ecosystem, including data warehouses, dimensional and semantic modeling, ETL/ELT pipelines, analytics layers, visualization tools, and self-service data products.
Demonstrated ability to design reliable, scalable data architectures and improve data quality, performance, maintainability, and operational resilience.
Ownership and accountability, with the ability to independently navigate complex or ambiguous problems, make sound technical and architectural decisions, manage priorities across multiple workstreams, and drive work forward with limited direction.
Experience applying analytical and statistical methods, including descriptive analysis, regression, correlation, time series analysis, and hypothesis testing, using tools such as Python or R.
Business acumen and experience translating business questions into clear metrics, analytical requirements, data solutions, and actionable insights, with careful attention to scope, consistency, and interpretation.
Ability to lead through influence and communicate complex technical and analytical concepts clearly across executives, business partners, analysts, and technical teams.
Strong judgment and commitment to data quality, privacy, security, governance, and the responsible use of People data.

Minimum Qualifications

BS/BA degree in a technical field (e.g., computer science, mathematics) or a research-based social science field (e.g., public policy, sociology).
6+ years of relevant experience in business intelligence engineering, analytics engineering, data engineering, quantitative analysis, or a related field or a Master’s degree in a technical field + 5+ year of post-grad experience; or a PhD in a related technical field + 2+ years of post-grad experience
6+ years of experience with SQL or similar query languages and development experience in at least one object-oriented or scripting language (Python, Java, Scala, etc.); Python preferred.
3+ years of experience designing and building dashboards, reports, and other end-user analytics solutions using data visualization tools such as Looker, Tableau, Visier, Posit, or similar platforms.

Lead Business Intelligence Engineer

The role

Lead Business Intelligence Engineer

The role

What you will do

What you need

Knowledge, Skills & Abilities

Minimum Qualifications

Nice to have

Pay and benefits

Zone A (CA, WA, NYC)

Zone B

Zone C

About Snap

Snap

Compared with similar jobs