Founding Engineer (Platform)

Terminal; United States; Remote; USD 80,000 - 150,000; Full time

Job summary

An innovative company is seeking a dynamic engineer to build scalable data platforms and tackle complex backend challenges. This role goes beyond traditional data engineering, involving the design and optimization of a powerful data platform that supports the company’s API. You will work with advanced data architectures and technologies, including Iceberg and Flink, while developing efficient data pipelines and real-time systems. If you are passionate about shaping impactful platforms and solving diverse engineering problems, this opportunity is perfect for you.

Qualifications

• Solid foundation in software development and data engineering.
• Experience with advanced data architectures and large-scale challenges.

Responsibilities

• Own projects for enhancing data replication, storage, and reporting.
• Build and optimize data pipelines for core product and API.
• Design scalable storage solutions for IoT and time-series data.

Skills

Java

Node.js

Data Engineering

Data Streaming

Data Storage

Analytics

Backend Engineering

Tools

Iceberg

Flink

Job description

We’re looking for an engineer who thrives on building scalable data platforms and enjoys tackling complex backend challenges. This isn’t just a data engineering role—you’ll be designing and optimizing the data platform that powers Terminal’s API, managing everything from data streaming and storage to analytics features at terabyte scale and beyond.

You should be comfortable navigating both data and backend engineering, with a solid foundation in software development. You’ll work with advanced data architectures, including Iceberg, and Flink, tackling large-scale challenges and contributing to core product development using Java and Node.js. If you’re excited by the opportunity to shape a high-impact platform and tackle diverse engineering problems, we’d love to hear from you.

What you will do:

• Own projects aimed at enhancing data replication, storage, enrichment, and reporting capabilities.

• Build and optimize efficient streaming and batch data pipelines that support our core product and API.

• Design scalable storage solutions for handling terabytes of IoT and time-series data.

• Develop and maintain real-time data systems to ingest growing data volumes.

• Implement distributed tracing and observability patterns to improve monitoring and troubleshooting.

• Write clean, maintainable code in Java and at times Node.js for various platform components.

• Shape architectural decisions to ensure scalability and reliability throughout the data platform.