Data Analytics Engineer - REMOTE


Data Analytics Engineer - REMOTE


Position Description:

  • A Data Engineer will architect, organize, and archive real-world data and data structures from unmanned vessels.
  • A highly qualified candidate will also be able to build tools, test, analyze, and model the data for interpretation by other key engineers and researchers.
  • This position will provide lifecycle support for innovative hardware and software systems and applications that support the maximal utilization of Unmanned Surface Vessel (USV) data.

Your future duties and responsibilities:

  • Architect the data management pipeline
  • Organize the data into useful structures and databases
  • Develop archiving solutions that can be utilized to scale to navy vessels and compare same or similar data across vessels
  • Build tools to manipulate the data
  • Analyze data through visualization techniques
  • Model data for interpretation by other key engineers and researchers
  • Oversee all field-deployed systems and the harvesting of their data
  • Identify and emplace processes to streamline field support, driving improvement in information and technology flow to internal and external stakeholders alike
  • Serve as technical lead for training other Field Support engineers in assisting the Data Management, collaboratively delivering content to ensure knowledge transfer
  • Develop plans and designs for modifications and enhancements
  • Implement new requirements and architecture changes
  • Update and maintain documentation for the data management system
  • Participate in multi-functional teams and manage work through JIRA
  • Verifying, and updating as necessary, in-house system and network documentation for remote site configurations during field services engagements, and ensuring those updates and feedback are delivered to the respective O&M teams for awareness and action.


Required qualifications to be successful in this role:

  • U.S. Citizenship required
  • Bachelor's degree or equivalent experience in information technology, computer science, computer engineering or a related field
  • 4+ years experience as a data manager or data engineer
  • Experience with SQL databases (SQL, MongoDB, Postgres)
  • Experience with NoSQL database technologies is a plus
  • Working experience with ETL processing
  • Excellent use and understanding of data engineering concepts, principles, and theories
  • Visualization and/or Complex Analysis using time-series data
  • Scripting or programming skills (Python, Bash, Data Science Frameworks)
  • Understanding of technical, operational, and management issues related to data design, development, and deployment at scale
  • Experience working in a Linux environment


  • Analytical Thinking
  • Communication (Oral/Written)
  • Data Analysis
  • Detail-oriented
  • Linux

How to Apply:

Apply online at

Visit Site to Apply

Location: Lafayette, LA REMOTE
Date Posted: June 13, 2022
Application Deadline: July 14, 2022
Job Type: Full-time