Staff Software Engineer, Big Data Infrastructure, Level 6
About The Position
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!
Requirements
- 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)
- 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
Nice To Haves
- 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
Responsibilities
- 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
Benefits
- paid parental leave
- comprehensive medical coverage
- emotional and mental health support programs
- compensation packages that let you share in Snap’s long-term success!
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
