Senior Data Engineer

Senior Data Engineer

Our client is a high-volume decentralized finance (DeFi) protocol based on Arbitrum, facilitating leveraged trading of real-world assets—including commodities, forex, indices, and equities—alongside crypto with full self-custody.

The client is seeking a Senior Data Engineer to spearhead infrastructure initiatives, optimize high-throughput data processing, and establish modern data engineering best practices. This role will focus on scaling data pipelines and building an advanced infrastructure layer that empowers engineering teams with self-service capabilities for deploying applications, requesting infrastructure, and managing monitoring systems.

Key Responsibilities

• Data Pipeline Optimization: Refine, maintain, and scale a high-throughput data pipeline to support complex, high-volume trading infrastructure.
• Architecture & Latency Management: Lower latency on critical path applications through system optimization, architectural enhancements, and direct application code development.
• Developer Tooling & Orchestration: Mature and enhance an in-house testing and validation stack to allow developers to run applications locally across multiple environments and parallel agents.
• Best Practices & Self-Service: Define organization-wide data standards, guide cross-functional software engineers on pipeline leverage, and enable 90% self-service infrastructure autonomy across the team.
• System Reliability & Security: Maintain a security-first approach by identifying attack vectors, coordinating simulated system security testing, and maintaining rigorous platform stability using AI tools and comprehensive test suites.