Staff Data Platform Engineer Big Data & Real-Time

Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We’re deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront. 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 11+ 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 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, 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. If you have a disability or special need that requires accommodation, please don’t be shy and contact us at View email address on click.appcast.io. Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include 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. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These pay zones may be modified in the future. Zone A (CA, WA, NYC): The base salary range for this position is $222,000-$333,000 annually. Zone B: The base salary range for this position is $211,000-$316,000 annually. Zone C: The base salary range for this position is $189,000-$283,000 annually. This position is eligible for equity in the form of RSUs. #J-18808-Ljbffr Snap