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Snap Inc.

Business Intelligence Engineer, Level 4

Posted Yesterday
Hybrid
2 Locations
111K-196K Annually
Mid level
Hybrid
2 Locations
111K-196K Annually
Mid level
As a Business Intelligence Engineer, you'll develop data pipelines, collaborate with various teams, and deliver reporting datasets for informed decision making.
The summary above was generated by AI

Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.

The CFO Organization at Snap includes Accounting, Business Partner Finance, Business Planning & Operations, Finance Operations, Financial Systems, Internal Audit, Investor Relations, Partnerships & Strategy, Tax, and Treasury teams. Together, the team partners with leadership to provide insights, information, and guidance to make strategic and operational decisions, inform investors about our business model and progress, and ensure the company is financially healthy and consistently meeting our reporting obligations.

We’re looking for a Business Intelligence Engineer on our Finance Team. Working from one of our west coast offices in Santa Monica, CA or Seattle, WA, you’ll collaborate with teams across the organization (Engineering, Finance, Operations, etc.) to build metric consumption pipelines and coach fellow contributors, delivering the data necessary for making the right decision in the moment. Our team strives to improve decision quality across the company by ensuring metrics are trustworthy, discoverable, and easily consumable.

What you’ll do:

  • 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.

  • 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 a combination of BigQuery and Spark

  • Deliver performant reporting datasets consumed through our visualization portals.

  • Build reporting tools to facilitate consumption consistency across teams

Knowledge, Skills & Abilities:

  • Experience in building data pipelines to serve reporting needs.

  • Experience owning all or part of a team roadmap.

  • Experience with data visualization tools like Looker and Tableau.

  • Ability to prioritize requests from multiple stakeholders in disparate domains.

  • Ability to effectively communicate complex projects to non-technical stakeholders.
     

Minimum Qualifications: 

  • BS/BA degree in Computer Science, Math, Physics, or a related field, or equivalent years of experience in a relevant field.

  • 3+ year experience in SQL or similar languages.

  • 3+ years development experience in at least one object-oriented or scripting language (Python, Java, Scala, etc), Python preferred.

Preferred Qualifications:

  • Hands-on experience with Google BigQuery.

  • Experience using and sharing notebook solutions like Jupyter.

  • Experience in version control systems such as Git.

  • Data architecture and warehousing experience.

  • Experience with Airflow.

  • Experience in ETL / Data application development.

If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.

"Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week. 

At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.

Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!

Compensation

In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.

Zone A (CA, WA, NYC):

The base salary range for this position is $130,000-$196,000 annually.


 

Zone B:

The base salary range for this position is $124,000-$186,000 annually.

Zone C:

The base salary range for this position is $111,000-$167,000 annually.

This position is eligible for equity in the form of RSUs.

Top Skills

Airflow
Google Bigquery
Java
Jupyter
Looker
Python
Scala
SQL
Tableau

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