Data Engineer

Massar Capital•New York, NY

54d•$150,000 - $200,000

About The Position

The data team delivers infrastructure and models to deploy valuable data across the business. Working closely with our researchers and traders, we build resilient and easily maintainable data models and pipelines. Additionally, our developers support live trading by maintaining pipeline operations and enhance our data platform by developing new frameworks, libraries, and services, thereby enhancing team efficiency, throughput, and code quality.

Requirements

Bachelor’s in a technology related field (e.g. Engineering, Computer Science, etc.)
Strong skills programming in Python (inc. Numpy & Pandas) as well as significant experience with SQL, as a software developer, quantitative developer or data engineer
Exposure to Relational database engineering or NoSQL database
Experience with any of the following systems is a plus: Apache Airflow, Docker, Kubernetes
Strong design, debugging and problem-solving skills
Strong analytic and strategic thinking skills
Strong communication skills

Nice To Haves

Experience at either a hedge fund or for a trading group on the buy-side
Experience with any of the following systems is a plus: Apache Airflow, Docker, Kubernetes

Responsibilities

Gain a comprehensive understanding of investment research teams' data needs and provide the right solution to them
Develop, test, and optimize Python data applications, frameworks, and services
Collaborate with technologists and researchers to align data applications and platforms with evolving business needs
Write and review technical documentation, including requirements for researchers and proposals for platform enhancements, as well as production support guidelines
Frequently take the lead on production support operations