Senior Software Engineer, Data Engineering

Summary

Join a technology company that applies state-of-the-art machine-learning techniques to real-world problems in finance. As a Senior Software Engineer on our Data Engineering team, you will contribute to scaling and advancing our entire data operation.

Requirements

• Computer Science / Engineering degree or equivalent experience
• 5+ years of software engineering experience
• Proven track record of software design and implementation with a focus on correctness, robustness, efficiency, and scale
• Expertise in a modern programming language, such as Python, Go, Java, or C++
• Hands-on experience developing in a Linux/UNIX environment
• Design and implementation of scalable services and APIs, highly-available systems, and/or large-scale data infrastructure
• Experience with data storage and management technologies (e.g., PostgreSQL, Artifactory, Ceph, Redis)
• Familiarity with job scheduling and orchestration technologies (e.g., Airflow, Slurm)
• Familiarity with cloud-based data storage, querying, and processing technologies
• Work with large codebases and experience building modular, extensible, and maintainable software
• Strong communication skills and a proven ability to explain complex ideas with clarity and simplicity

Responsibilities

• Engage and collaborate in diverse software development work, including designing and implementing distributed data processing systems, maintenance and deployment of production workflows, tool development, and more
• Support our trading operations and promote our research effort through reliable and timely delivery of high-quality data
• Build scalable data infrastructure, robust storage and distribution systems, and fault-tolerant production-critical pipelines
• Lead complex projects from start to finish, which includes gathering project requirements, translating them into a rational software design, reasoning effectively about supporting or dependent technologies, and communicating effectively with collaborators and teammates
• Provide technical guidance to engineering and research staff
• Mentor and grow individual contributors to continuously up-level the team

Benefits

• Medical insurance
• Dental insurance
• Vision coverage
• Life and AD&D insurance
• 20 days of paid time off
• 9 sick days
• 401(k) plan with a company match