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About the Role

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.

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.

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

Skills

dbt
SQLMesh
Airflow
Dagster
Prefect
PostgreSQL
ClickHouse
AI acceleration tools

Location

New York, United States

Work Type

Hybrid
Full-time

Experience Level

Senior

Salary/Compensations

$180K - $320K

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.

About the Company

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.

Equal Opportunity

At MLabs, we are committed to offer equal opportunities to all candidates. We ensure no discrimination, accessible job adverts, and providing information in accessible formats. Our goal is to foster a diverse, inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing human-resources@mlabs.city.