Staff Software Engineer, Big Data Infrastructure, Level 6

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.

We are looking for a Staff Software Engineer to join the Big Data Infrastructure team!

What you’ll do:

• Architect, build and optimize Snap’s batch and real-time data processing infrastructure and platform for a wide range of use cases, including ML, ETL, reporting, and analytics

• Collaborate across teams to design and enhance some of Snap’s most critical data applications

• Act as a developer advocate and educator, promoting the adoption of big data best practices among Snap teams

• Help in defining and building Snap’s DataLake solution to ensure it's efficient, compliant, and user-friendly

Knowledge, Skills & Abilities:

• In-depth experience building and operating data systems at scale, with a focus on big data processing (either batch or streaming)

• Proficiency in Java, C++, and/or Python, with a strong coding background in building robust and scalable systems

• Proven ability to independently execute on medium to large-sized features, spanning multiple weeks and PRs

• Strong understanding of the operational aspects of systems, and the ability to participate in incident or hotfix investigation and resolution

• Excellent collaboration and communication skills, enabling effective teamwork across diverse technical teams

• Familiarity with other Big Data technologies, NoSQL solutions, and cloud services (like Kubernetes, Google Cloud, AWS)

Minimum Qualifications: 

• BS/BA degree in a technical field such as Computer Science or equivalent years of experience

• 9+ years of software development experience

• Specialization in building backend services and distributed systems

• Familiarity with Apache Spark/Flink/Iceberg, Google Dataflow/Beam, or other pertinent big data technologies

Preferred Qualifications:

• Experience building Flink/Spark/big data platform that serves enterprise use cases.

• Expertise in building and optimizing large-scale big data applications

• Hands-on experience deploying Spark/Flink on platforms like Kubernetes, ideally in a cloud setting

• Specialization in building and operating Datalake/Lakehouse at scale

• Familiar with MLOps/platforms with a large data footprint, such as training/feature data

• Expertise in areas such as large-scale microservices, cloud computing, infrastructure design, networking, and data storage

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, religi