Senior Data Engineer

- 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.

- Strong background in data modeling frameworks (e.g., dbt, SQLMesh) and data orchestration platforms (e.g., Airflow, Dagster, Prefect). - Production experience with databases such as PostgreSQL and ClickHouse. - Deep understanding of modern data pipeline architectures, distributed systems, and industry best practices. - Proficiency in leveraging AI acceleration tools while validating outputs and implementing strict code quality guardrails.

- Security-Minded: Continuous focus on reducing attack surfaces and protecting system integrity. - Solution-Oriented: Focused on removing technical bottlenecks to allow software and quantitative teams to deploy rapidly. - Self-Directed Leadership: Capability to evaluate system requirements, prioritize high-value initiatives, and proactively propose architectural roadmaps. - Collaborative & Adaptable: Willingness to learn from quants, engineers, and operations teams in an evolving, high-performance environment. - Execution & Commitment: Ability to advocate for technical strategies during design stages, with a strong commitment to aligned execution upon final decision.

- Competitive base salary. - Equity ownership package. - Network token allocation.

- Hiring Manager Interview: Initial discussion with the Backend Team Lead. - Technical Interview 1: System Design session. - Technical Interview 2: Practical AI Coding round. - Final Interview: Strategy and culture alignment call with the Chief Technology Officer.

- Competitive base salary. - Comprehensive token and equity compensation package. - Opportunity to work at the forefront of global decentralized financial infrastructure.

The interview process is structured across four distinct stages:

- Hiring Manager Interview: An introductory conversation with the Backend Team Lead. - Technical Interview (System Design): A deep dive into architecture and infrastructure systems design. - Technical Interview (AI Coding Round): A practical hands-on session evaluating technical problem-solving and AI tool utilization. - Final Interview: A concluding discussion focused on cultural alignment and executive evaluation with the Chief Technology Officer (CTO)