Computer Scientist, AST

2 weeks ago


Huntsville, Alabama, United States National Aeronautics And Space Administration Full time
Summary

Serves as a senior information and data engineer in the Information Data and Analytics Service Line responsible for leading strategic planning, development, and technical integration of data and information engineering solutions across NASA. Leads the design and optimization of data pipelines, architectures, and information management platforms to support the collection, storage, processing, and analysis of complex datasets and from NASA's missions.



Duties
  • Duties described below are at the highest grade advertised. Duties assigned at lower grade levels will be of more limited scope, performed with less independence and limited complexity; duties will be commensurate with the grade of selected employee.
  • Serve as an authority in the design, implementation, and data solutions architecture of the Agency's data analytics initiatives ensuring compliance with federal regulations and standards.
  • Provide overall leadership in the development and deployment of information and data engineering pipelines for data acquisition, storage, transformation, and analysis.
  • Serve as senior consultant to a team of information and data engineers, ensuring that in a rapidly evolving field that the best practices and standards are followed in data engineering projects.
  • Evaluate, advise on, and implement information and data technologies, tools, and platforms to enhance the agency's data capabilities and infrastructure.
  • Provide overall leadership and direction in the development and maintenance of documentation related to information and data solutions architecture, including system diagrams, data flow diagrams, and technical specifications.
  • Implement information and data security measures and ensure compliance with data protection regulations and policies.
  • Guide the formulation of information development and data governance initiatives by defining data quality standards, metadata management practices, and data lineage tracking mechanisms.
  • Provide expert information and advice in the field of data engineering on best practices, standards and solutions related to data analytics projects, including data modeling, data visualization, and machine learning implementation.
  • Foster a culture of engagement, diversity, inclusiveness, excellence and innovation. Champion NASA's commitment to Diversity, Equity, Inclusion and Accessibility to create an environment that promotes a commitment to safety, integrity, and teamwork.


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