Snap Inc is looking for a Staff Software Engineer to join the Big Data Infrastructure team to 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.
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
- Familiarity with other Big Data technologies, NoSQL solutions, and cloud services (like Kubernetes, Google Cloud, AWS)
- Specialization in building backend services and distributed systems
- Familiarity with Apache Spark/Flink/Iceberg, Google Dataflow/Beam, or other pertinent big data technologies
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
Other
- Excellent collaboration and communication skills, enabling effective teamwork across diverse technical teams
- BS/BA degree in a technical field such as Computer Science or equivalent years of experience
- 9+ years of software development experience
- work in an office 4+ days per week.
- 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.
