DATA ENGINEER – FULL TIME
Sync Computing is an MIT based startup company on a mission to build the next leap in distributed computing in the cloud. Sync Computing’s foundational technology is capable of solving large-scale scheduling optimization problems instantly, unlocking unprecedented gains in the orchestration of large-scale computing applications. Businesses worldwide will be able to utilize cloud resources with optimal efficiency, saving billions of dollars and endless hours on the cloud. We are targeting applications in data analytics, machine learning, and high-performance computing.
Sync Computing is searching for a full-time data engineer located in Cambridge, MA. Remote work within the United States will be considered depending on applicant experience.
As a data engineer, you will be part of a growing interdisciplinary team and will work closely with other top-tier engineers to build, test, and deploy cutting-edge distributed software packages. We are looking for someone who loves diving into code, working with large datasets, and truly understanding the guts of how large-scale computing works. The responsibilities of the position include:
- Optimize big-data frameworks and workflows on the cloud (e.g. Spark)
- Automate code testing and data collection
- Optimize cloud infrastructure
- Build and maintain the latest generation of distributed computing frameworks
A technical background in electrical engineering, computer science, applied math, physics, or related fields is required, with a B.S., or M.S.,degree. The candidate must be familiar with basic programming languages (e.g. Python) and Linux operating systems. Experience with AWS is preferred and familiarity with Apache Spark is required. Candidates must have excellent written and oral communication skills, a strong desire to learn, be self-directed, and be motivated to work in a fast paced start-up environment. All levels of previous experience are encouraged to apply.
How to Apply:
To learn more, please send us a CV at email@example.com