Software Engineer, Data Platform

Webhosting; New York, Northern (NY, KY); Hybrid; USD 130,000 - 200,000; Full time

Job summary

Vercel is seeking a Data Platform Engineer to join our Data Engineering team and build the core infrastructure that powers data across the company. This role focuses on the platform itself—the streaming systems, storage layers, and tooling that engineers, analysts, and data scientists rely on daily.

You will work with Kafka, ClickHouse, Tinybird, and Snowflake to ensure throughput, reliability, and scalability while building self-service capabilities for data consumers across the org.

Qualifications

• Experience building data platforms and pipelines.
• Ability to design scalable streaming systems.
• Familiarity with observability and monitoring practices.

Responsibilities

• Contribute to the systems that ingest, move, and serve data across Vercel, building reusable infrastructure for multiple teams.
• Work with Kafka and streaming tooling to support real-time data movement under senior guidance.
• Help build monitoring, alerting, and observability to catch issues before outages.
• Contribute to internal tools and abstractions across ClickHouse, Tinybird, Snowflake for self-service access.
• Develop platform features with growing independence and participate in code reviews.
• Help implement data access controls, protection, and compliance with senior engineers.
• Get exposure to architecture decisions and analytics/AI/ML workloads at scale.

Skills

Kafka experience

Streaming data

Cloud data platforms

Observability

Data security

Tools

Kafka

ClickHouse

Tinybird

Snowflake

Job description

Hybrid Full-time Not specified Data

Job Description

About Vercel:

Vercel is the agentic infrastructure company. We free people and agents to ship what’s next.

For more than a decade, Vercel has shaped how the web is built. As the team behind Next.js, v0, and AI SDK, we create products that help builders move from idea to production with speed, security, and exceptional developer experience.

Now, software is entering a new era, and the next generation of products will not just be used by people. They will be built, extended, and operated by agents.

We are building the platform for that future, trusted by companies likeOpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. Whether you’re building our products, supporting our customers, growing our community, or shaping our story, you’ll help define what comes next.

About the Role

We’re looking for a Data Platform Engineer to join our Data Engineering team and help build the infrastructure that powers data across Vercel. This isn’t a reporting or pipelines-for-a-dashboard role. You’ll work on the platform itself: the streaming systems, storage layers, and tooling that other engineers, analysts, and data scientists build on top of.

You’ll help build and operate core platform components using technologies like Kafka, ClickHouse, Tinybird, and Snowflake, and get exposure to real infrastructure problems: throughput, latency, schema evolution, fault tolerance, and designing systems that stay reliable as usage scales.

If you’re excited to build the plumbing the rest of the data org depends on, and want to learn from senior engineers doing it at scale, we’d love to hear from you.

What You Will Do

• 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.

The San Francisco, CA base pay range for this role is $130,000 – $200,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.

Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don’t necessarily check every box on the job description.