Data Engineer

Norfolk, VA, US • Posted 8 hours ago • Updated 8 hours ago
Full Time
On-site
Fitment

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Job Details

Skills

  • Data Mining
  • Visualization
  • Programming Languages
  • R
  • Python
  • SAS
  • SPSS
  • Stata
  • Tableau
  • Microsoft Power BI
  • Reporting
  • Data Management
  • Lifecycle Management
  • Storage
  • Verification And Validation
  • Test Plans
  • Data Collection
  • Testing
  • Artificial Intelligence
  • Machine Learning (ML)
  • Data Analysis
  • Workflow
  • Unstructured Data
  • SQL
  • NoSQL
  • High Performance Computing
  • HPC
  • Science
  • IT Management
  • Management
  • Information Systems
  • Mathematics
  • Data Science
  • Security Clearance

Summary

Position Type: Full-Time
Location: Norfolk
Clearance: Secret

AERMOR is seeking a highly motivated and experienced Data Engineer to support data analysis and data management functions across enterprise and test environments. The successful candidate will have proven technical capability in data mining, integration, transformation, visualization, and backend data systems, along with experience supporting data collection and verification activities.

This is not a remote position.

Responsibilities:
  • Perform data mining, cleaning, integration, transformation, manipulation, and visualization for small to large datasets.
  • Apply software and programming languages and tools such as R, Python, SAS, SPSS, STATA, Tableau, and PowerBI to support data analysis and reporting.
  • Design, implement, and maintain data management systems to support collection, storage, and lifecycle management of test data.
  • Develop data collection plans, including methodologies and storage strategies for raw and processed data.
  • Support verification and validation of data collection and accreditation plans in test planning activities.
  • Manage and coordinate the equipment and resources required to implement data collection during testing.
  • Incorporate AI/ML techniques into data analysis workflows.
  • Analyze structured and unstructured data, leveraging backend technologies such as SQL, NoSQL, and High-Performance Computing (HPC).

Qualifications:

  • Undergraduate or graduate degree in one of the following disciplines: Data Science, Computer/Information Science, Information Systems Management, Archives/Digitization Management, Management of Information Systems, Mathematics, or Engineering.
  • In lieu of degree: equivalent coursework that involved the development or adaptation of computer programs and systems providing knowledge comparable to a major in the Data Science field
  • Active Secret clearance is required.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91026559
  • Position Id: 1c339f882ca879ad3230dbba640b98c
  • Posted 8 hours ago
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