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Data Engineer

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.

EN.SODE.P3

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 $157,000-$235,000 annually.


 

Zone B:

The base salary range for this position is $149,000-$223,000 annually.

Zone C:

The base salary range for this position is $133,000-$200,000 annually.

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

Average salary estimate

$196000 / YEARLY (est.)
min
max
$157000K
$235000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Data Engineer, Snapchat

At Snap Inc., we're on the lookout for a talented Data Engineer to join our bustling Bellevue, Washington office! As a key player in our innovative team, you’ll have the unique opportunity to shape the future of communication and human connection through data. Your role will involve building and maintaining robust data pipelines that empower our products, like the Snapchat app and our cutting-edge AR technologies. You'll collaborate closely with our engineering and product teams to ensure that the data architecture supports our diverse applications and analytics needs. If you're passionate about working with large datasets and crafting insightful data solutions, you'll find yourself right at home here at Snap. We pride ourselves on our inclusive culture and 'default together' approach, encouraging collaboration and creativity in every project. Join us, and together we can pave the way for tomorrow's digital world, all while sharing in Snap’s long-term success through competitive compensation and outstanding benefits like parental leave, comprehensive healthcare, and much more. Let’s harness the power of data to enhance user experiences and deliver joy to our global community!

Frequently Asked Questions (FAQs) for Data Engineer Role at Snapchat
What are the primary responsibilities of a Data Engineer at Snap Inc.?

As a Data Engineer at Snap Inc., you’ll be critical in designing and managing data pipelines, developing and optimizing data architecture, and ensuring high data availability and quality for our applications. You’ll collaborate with data scientists and product teams to create data solutions that enhance user experiences.

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What qualifications do you need to become a Data Engineer at Snap Inc.?

To be successful as a Data Engineer at Snap Inc., candidates typically need a degree in computer science, engineering, or a related field, along with strong skills in database management, data warehousing, and programming languages like Python or Java. Experience with cloud platforms and data processing frameworks is also highly valued.

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What technologies will a Data Engineer at Snap Inc. be working with?

At Snap Inc., Data Engineers work with various technologies, including SQL and NoSQL databases, cloud data solutions, and tools for ETL (Extract, Transform, Load) processes. Familiarity with big data technologies like Hadoop or Spark is an advantage.

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What does Snap Inc.'s work culture look like for Data Engineers?

Snap Inc. promotes a collaborative work environment where Data Engineers engage in dynamic teamwork. The 'default together' policy encourages in-person interactions, fostering a culture of creativity and shared ideas, which is essential for delivering innovative products.

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How does Snap Inc. ensure diversity and inclusion in hiring Data Engineers?

Snap Inc. is committed to building a diverse workforce, actively pursuing candidates from various backgrounds. They provide equal employment opportunities regardless of race, gender, disability, or any other protected classification, ensuring that all voices are heard in the development of their technology.

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Common Interview Questions for Data Engineer
Can you describe your experience with data warehousing solutions?

When answering this question, detail your experience with specific data warehousing technologies you've used, such as Amazon Redshift or Google BigQuery. Highlight how you've implemented data models, managed ETL processes, and ensured data quality.

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What programming languages are you proficient in for data engineering?

Be prepared to list programming languages like Python, Java, or Scala. Provide examples of projects where you've used these languages to manipulate and analyze data, and explain how you leverage libraries or frameworks specific to data engineering.

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How do you ensure data integrity and quality in your work?

Discuss the methods or tools you use to validate data, clean it, and monitor data pipelines. You can mention data validation libraries, automated testing practices, or strategies you’ve employed to prevent data discrepancies.

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Give an example of a complex data pipeline you've designed and deployed.

Share a detailed example of a project where you designed a pipeline that handles data ingestion, transformation, and storage. Explain the challenges you faced, how you overcame them, and the impact it had on the organization.

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What is your experience with cloud platforms for data storage and processing?

Discuss specific cloud platforms, such as AWS, Google Cloud, or Azure. Describe your experience with their data services, what projects you used them for, and how they improved efficiency in data handling.

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How do you approach optimizing database queries?

Explain your strategy for improving query performance, such as indexing, query refactoring, or analyzing execution plans. Provide examples where your optimizations led to measurable improvements.

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What experience do you have working with unstructured data?

Talk about the techniques or technologies you've used to manage unstructured data, such as using Hadoop or processing data streams with tools like Apache Kafka. Highlight any projects where this was a key focus.

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How do you stay current with new data engineering technologies and trends?

Mention how you participate in online courses, attend webinars, or follow industry blogs and forums. You could also refer to specific webinars or articles that have inspired your recent work.

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Can you discuss a time when you had to collaborate with cross-functional teams?

Describe a specific instance where you worked with teams from different disciplines, such as data scientists or product managers. Focus on how you communicated complex ideas clearly to non-technical stakeholders.

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Why do you want to work as a Data Engineer at Snap Inc.?

When answering this, express your enthusiasm for Snap's mission to enhance communication and share how your skills align with the company's goals. Mention any specific projects at Snap that excite you and how you see yourself contributing.

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MATCH
VIEW MATCH
FUNDING
DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
No info
HQ LOCATION
No info
EMPLOYMENT TYPE
Full-time, on-site
DATE POSTED
April 4, 2025

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