MORSE is an innovative, employee-owned, tech company located in Kendall Square in Cambridge, MA specializing in solving multi-disciplinary problems faced by the US National Security Ecosystem. Our specially selected team of engineers, software developers and scientists develop algorithms, software integrated prototypes and solutions for Artificial Intelligence, Machine Learning, Manned and Unmanned Aerial Vehicles, Mission Planning, and Situational Awareness.
As a Lead Data Engineer at MORSE, you will lead and work with our multidisciplinary team of scientists, engineers, and software developers on a variety of programs related to machine learning and artificial intelligence. You will be expected to rapidly define, develop, implement, and exercise ETL pipelines for complex systems that use data to help produce actionable insights in operational systems.
Skills and Requirements
A successful candidate will be working with data scientists, software engineers, and data providers to maintain data and transforms on that data. The candidate will be creating and maintaining novel pipelines for on premises hardware, externally hosted hardware, cloud-computing systems. The pipelines include data primarily from computer vision systems, traditional sensing systems, robotics data, and human generated label data. All data and pipelines are used for machine learning and artificial intelligence.
US CITIZENSHIP REQUIRED, or the ability to obtain a U.S. Security Clearance
BS, MS, or PhD in computer science, database management, data engineering, or equivalent
5+ years of experience as a data engineer
1+ years as a technical lead or project lead
Proficiency in Python and PySpark
Experience with Docker
Experience with cloud computing (AWS, Azure, GCP)
Good communication skills
Self-starter and driven
Familiarity with Kedro is a plus
Familiarity with the latest data engineering trends
Experience with Docker-compose
Experience with Microservices
Proficiency in one or more programming languages
Demonstrated experience with large data sets in one or more of the following areas: parsing, cleaning, storage strategies, provenance tracking, database formats, and parallelized data transformations
The team at MORSE takes pride in being the smart team that is easy to work with. We focus on steady, long-term success while maintaining a collaborative, enjoyable work experience for its employees. Our team values work-life balance through flexibility and other programs, along with a comprehensible benefits package for employees and families. For more information, please visit www.morsecorp.com.