Senior Data Engineer
About The Position
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.
Requirements
- 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.
Responsibilities
- Refine, maintain, and scale a high-throughput data pipeline to support complex, high-volume trading infrastructure.
- Lower latency on critical path applications through system optimization, architectural enhancements, and direct application code development.
- Mature and enhance an in-house testing and validation stack to allow developers to run applications locally across multiple environments and parallel agents.
- Define organization-wide data standards, guide cross-functional software engineers on pipeline leverage, and enable 90% self-service infrastructure autonomy across the team.
- 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.
Benefits
- Competitive base salary.
- Equity ownership package.
- Network token allocation.
- Comprehensive token and equity compensation package.
- Opportunity to work at the forefront of global decentralized financial infrastructure.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
