Data Platform Engineer — Real-Time Data Infra

Socket.dev; San Francisco, New York (CA, NY); On-site; USD 130,000 - 200,000; Full time

Benefits offered by this job

Equity

Healthcare package

Mentorship & events

Flexible time off

WFH budget

Job summary

Vercel is seeking a Data Platform Engineer to join the Data Engineering team and help build the infrastructure that powers data across the company. You will work on streaming systems, storage layers, and tooling that other engineers and data scientists rely on.

You will work with Kafka, ClickHouse, Tinybird, and Snowflake to design and operate core platform components, ensuring throughput, latency, and fault tolerance scale as usage grows.

Qualifications

• Bachelor's degree in CS or a related field.
• Strong coding foundation in Python/Go/Scala.
• Familiar with distributed systems and streaming architectures like Kafka.
• Interest in building infra used by data engineers and analysts.

Responsibilities

• Build and operate core platform components powering data across the company.
• Work with streaming tooling to enable real-time data movement and reliability.
• Develop monitoring, logging, and observability to prevent outages.
• Collaborate across teams to simplify platform usage and enable self-service for data consumers.
• Contribute to architecture decisions and platform-level tradeoffs for analytics workloads.

Skills

Kafka

ClickHouse

Snowflake

Tinybird

Streaming

Python

Go

Education

Bachelor's degree in Computer Science or related field

Tools

Kafka

ClickHouse

Tinybird

Snowflake

Job description

Vercel is seeking a Data Platform Engineer to join the Data Engineering team and help build the infrastructure that powers data across the company. You will work on streaming systems, storage layers, and tooling that other engineers and data scientists rely on.

You will work with Kafka, ClickHouse, Tinybird, and Snowflake to design and operate core platform components, ensuring throughput, latency, and fault tolerance scale as usage grows.