Senior Data Engineer

Posted 17 Days Ago
2 Locations
Hybrid
Senior level
Artificial Intelligence • Big Data • Information Technology • Machine Learning • Software • Analytics • Financial Services
The Role
The Senior Data Engineer will build and maintain data pipelines, develop scalable ETL processes, and implement storage solutions for large financial datasets.
Summary Generated by Built In

Who We Are

MA Capital US LLC is a proprietary trading firm specializing in systematic and high-performing discretionary strategies across multiple asset classes. We leverage advanced technology, quantitative research, and sophisticated models to capitalize on opportunities in global markets. Our culture is built on innovation, efficiency, and transparency. We are committed to providing liquidity and supporting fair, efficient markets, while ensuring our traders and professionals have flexibility, tools, and continuous learning opportunities to succeed.

 

Position Overview

We’re seeking a Senior Data Engineer who will play a key role in building and maintaining the infrastructure that powers our trading strategies. In this role, you’ll design high-performance data pipelines, develop scalable ETL processes, and implement storage solutions for large, complex financial datasets. You’ll work closely with traders, quants, and technologists to ensure reliable, real-time data is available across the firm.

 

MA Capital employs individuals with a passion for innovation and solving hard problems. If you are looking for a firm where you can make your mark or take a strategy to the next level, MA Capital is your home.

 

Key Responsibilities

  • Data Pipelines: Build and maintain high-performance pipelines for market data, trade data, and analytics.
  • ETL Development: Develop reliable and scalable ETL processes for both structured and unstructured datasets.
  • Data Storage: Implement optimized storage solutions, including time-series databases and distributed file systems, for large-scale financial datasets.

 

Required Qualifications

  • Programming & Databases: Proficiency in Python and SQL with strong knowledge of database technologies.
  • Distributed Systems: Experience working with distributed systems for large-scale data processing.
  • Cloud & Infrastructure: Hands-on experience with cloud platforms (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes).
  • Scaling Heavy Workloads: HPC, Ray, Slurm

 

Why join us?

  • Professional Development: Opportunities to grow cutting-edge technology and infrastructure to advance your career.
  • Flexible Working Options: Hybrid schedule and ability to work from any of our offices in Chicago / New York.
  • Startup Environment: Agile and entrepreneurial setup, allowing for flexibility and rapid decision-making.
  • Efficient Infrastructure: Proprietary platform for systematic trading with plug-and-play access to major global exchanges. Built for ultra-low latency and fast execution in HFT environments.
  • Comprehensive Health Coverage: Includes medical, dental, and vision insurance.
  • 401(k) Retirement Plan: Helping you and your family plan for a secure financial future.

Top Skills

AWS
Azure
Docker
GCP
Hpc
Kubernetes
Python
Ray
Slurm
SQL
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The Company
50 Employees

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