Cloud Software Engineer

About the position

Join our Secure the Enterprise initiative as a Cloud Software Engineer. In this role, you will be instrumental in transforming our system security evaluation and authorization process. We are moving from a manual approach to a new model that emphasizes automation, streamlined processes and approvals, continuous monitoring and assessment, and network data gathering across the entire project lifecycle. Be a part of this exciting transition and help us build a more secure and efficient future.

Responsibilities

• Develop, test, and maintain analytics using Pig and/or PySpark to create various reports for users.
• Provide report updates and create new reports based on requirements.
• Ensure data accuracy for end users and the success of day-to-day operations.
• Capture raw data from data feeds and normalize the data for analysis.
• Provide rapid response to customer needs and requirements.
• Maintain a comprehensive dictionary of all analytics.

Requirements

• An active NSA TS/SCI with Poly.
• Experience designing and developing automated analytic software, techniques, and algorithms.
• Experience developing and deploying data-driven analytics, event-driven analytics, and sets of analytics orchestrated through a rules engine.
• Experience documenting data models, schemas, data element dictionaries, and other technical specifications.
• Proficiency in Pig and PySpark.
• Experience with Piranhas.
• Bachelor’s degree in Computer Science or a related discipline from an accredited college or university, or 4 years of additional experience on projects with similar requirements may substitute for a bachelor’s degree.
• 6 years’ experience using the JAVA programming language.

Nice-to-haves

• Proficiency in Python, Java, and Scala.
• Experience with Apache NiFi, Ansible, and MongoDB.
• Experience working in an Agile environment.
• Experience deploying applications in a cloud environment.
• Hadoop Cloud Certification.
• Understanding of cloud scalability.
• Experience with linguistics.
• Experience documenting ontologies, data models, schemas, formats, and data element dictionaries.

Benefits

• Healthcare benefits
• Wellness benefits
• Financial benefits
• Retirement benefits
• Family support benefits
• Continuing education benefits
• Time off benefits