About this role

Work within an multidisciplinary team consisting of both developers and researchers
Assembles large, complex sets of data to support AI/ML algorithm implementation
Builds required infrastructure for optimal extraction, transformation and loading of data from various data sources
Curate and maintain data that is stored in support of metrics and evaluation
Implement Artificial Intelligence/Machine Learning algorithms
Identifies, designs, and implements internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes
Using Agile methodologies to develop software

B.S. in Data Science, AI/ML, Computer Science, or related field
5+ years of experience, preferably as Data Engineer/Scientist, Machine Learning Engineer, or Software Development
Experience developing data pipelines and normalizing data with canonical Python packages (e.g. NumPy, Pandas, Polars)
Experience contributing on a team using version control (e.g. git, GitLab, Bitbucket)
Active TS/SCI U.S. Government Security Clearance

Senior Data Engineer

Key skills