Staff Software Engineer, Big Data Infrastructure, Level 6

Position Overview

Snap Inc is a technology company that believes the camera presents the greatest opportunity to improve the way people live and communicate. With core products like Snapchat, Lens Studio, and Spectacles, Snap empowers people to express themselves, live in the moment, learn about the world, and have fun together. We are looking for a Staff Software Engineer to join the Big Data Infrastructure team!

Key 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

Required Qualifications

• 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, including participation in incident or hotfix investigation and resolution
• Excellent collaboration and communication skills for effective teamwork across diverse technical teams
• Familiarity with Big Data technologies, NoSQL solutions, and cloud services (like Kubernetes, Google Cloud, AWS)
• Education: BS/BA degree in a technical field such as Computer Science or equivalent years of experience
• Experience Required: 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 a 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 or Flink on platforms like Kubernetes, ideally in a cloud setting
• Specialization in building and operating Datalake/Lakehouse at scale
• Familiarity 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

Benefits & Perks

• Benefits: Snap Inc. offers 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.
  

  Zone A (CA, WA, NYC):

  $229,000 - $343,000 annually.
  

  Zone B:

  $218,000 - $326,000 annually.
  

  Zone C:

  $195,000 - $292,000 annually.
  This position is eligible for equity in the form of RSUs.