Staff Software Engineer (Big Data Infrastructure)

TL;DR

Staff Software Engineer (Big Data Infrastructure): Architecting, building and optimizing Snap’s batch and real-time data processing infrastructure and platform with an accent on ML, ETL, reporting, and analytics. Focus on designing and enhancing critical data applications, promoting big data best practices, and defining a compliant DataLake solution.

Location: Must work in an office 4+ days per week in Bellevue, Los Angeles, Palo Alto, or Seattle, USA

Salary: $229,000–$343,000 annually

Company

Snap Inc is a technology company focused on improving communication through its visual messaging app hirify.global, AR platform Lens Studio, and AR glasses Spectacles.

What you will do

• Architect, build, and optimize Snap’s batch and real-time data processing infrastructure and platform for various use cases.
• Collaborate across teams to design and enhance Snap’s most critical data applications.
• Act as a developer advocate and educator, promoting big data best practices.
• Help define and build Snap’s DataLake solution to ensure efficiency, compliance, and user-friendliness.

Requirements

• BS/BA degree in a technical field such as Computer Science or equivalent.
• 9+ years of software development experience.
• In-depth experience building and operating data systems at scale, with a focus on big data processing.
• 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.
• Strong understanding of the operational aspects of systems, including incident investigation and resolution.
• Familiarity with Apache Spark/Flink/Iceberg, Google Dataflow/Beam, or other pertinent big data technologies.
• Must work in an office 4+ days per week in Bellevue, Los Angeles, Palo Alto, or Seattle, USA.

Nice to have

• Experience building Flink/Spark/big data platforms that serve 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.
• Familiarity with MLOps/platforms with a large data footprint.
• Expertise in areas such as large-scale microservices, cloud computing, infrastructure design, networking, and data storage.

Culture & Benefits

• "Default Together" policy with expected office attendance 4+ days per week for dynamic collaboration.
• Commitment to diversity and inclusion.
• Comprehensive medical coverage, including emotional and mental health support.
• Paid parental leave.
• Compensation packages that include equity in the form of RSUs.
• Recognition as a "Built In's Best Places to Work" and "Most Innovative AR & VR Co."