> Markdown version of [/jobs/ext/2448054-software-engineer-data-platform](https://www.wearedevelopers.com/jobs/ext/2448054-software-engineer-data-platform). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer, Data Platform - **Company:** Vercel Inc. - **Location:** San Francisco, CA, United States (Remote available) - **Experience:** Starter - **Salary:** $130,000.0 - $200,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Code Review, Information Engineering, Data Infrastructure, Data Systems, Distributed Systems, Fault Tolerance, Python (Programming Language), Next.js, Scala (Programming Language), SQL Databases, Data Streaming, Snowflake, Backend, Event Driven Architecture, Information Technology, Low Latency, Real Time Data, Apache Kafka, Vertica, Stream Processing, Golang - **Published:** August 28, 2026 - **Apply:** https://www.dice.com/job-detail/e80798cb-b865-4170-9596-ad5b0d16c1bc ## About the Role * 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 ## Description 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. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) - [Scoring 2000 Products per Request: Performance Pitfalls in Golang](https://www.wearedevelopers.com/videos/2073-scoring-2000-products-per-request-performance-pitfalls-in-golang) ## Related Articles - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs)