Software Engineer, Data Platform

Vercel • San Francisco, CA

2h • $130,000 - $200,000 • Remote

About The Position

Vercel is seeking a Data Platform Engineer to join their Data Engineering team. The role focuses on building and maintaining the core infrastructure that powers data across Vercel, including streaming systems, storage layers, and tooling. This is not a role focused on reporting or dashboard pipelines, but rather on the foundational platform itself. The engineer will work with technologies such as Kafka, ClickHouse, Tinybird, and Snowflake, addressing real infrastructure challenges like throughput, latency, schema evolution, and fault tolerance in a scalable environment. The position offers an opportunity to learn from senior engineers and contribute to the essential data infrastructure that the entire data organization relies on.

Requirements

• 1-3 years of experience in data engineering, backend/infrastructure engineering, or a related field
• Bachelor's degree in Computer Science or a related field
• Solid programming foundation in a language commonly used in infrastructure or data systems (e.g., Python, Java, Scala, Go, or similar)
• Some exposure to or strong interest in distributed systems and streaming/event-driven architecture (e.g., Kafka)
• Comfort with SQL, and curiosity about how storage and query systems like ClickHouse or Snowflake are designed under the hood, not just how to query them
• An infrastructure mindset: drawn to building the thing other systems run on, more than the report or dashboard on top of it
• Good communication skills and comfort collaborating with senior engineers, asking questions, and iterating on feedback

Responsibilities

• Contribute to the systems that ingest, move, and serve data across Vercel, building reusable infrastructure other teams rely on rather than one-off pipelines.
• Work with Kafka and streaming tooling to support real-time data movement, under the guidance of senior platform engineers.
• Help build monitoring, alerting, and observability so issues get caught before they become outages.
• Contribute to internal tools and abstractions that make the platform easier for other engineers and data consumers to use self-service, working across ClickHouse, Tinybird, and Snowflake as part of the platform's storage and query layer.
• Develop platform features and fixes with growing independence, treating feedback from code review as a core part of your growth.
• Help implement access controls, data protection, and compliance practices across the platform, in partnership with senior engineers.
• Get exposure to how the team makes architecture and build-vs-buy decisions at the platform level, and how this infrastructure underpins analytics and AI/ML workloads across the company.

Benefits

• Competitive compensation package, including equity.
• Inclusive Healthcare Package.
• Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
• Flexible Time Off.
• We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level