Systems Engineer - Acitve Top Secret Clearance Required

Company: Fawkes IDM
Job type: Full-time

A data analytics company is seeking a Systems Engineer to join their team. This person will be responsible for the design and implementation of modular, cloud-native, API-centric applications.
Support engineering data acquisition activities including technical planning, requirements
management, interface definition, systems integration, verification and validation, and
cost/schedule/risk assessments
Collaborate with Government counterparts and Mission Owners to identify potential new
capabilities and enhancements to existing capabilities (such as analytic and visualization
Identify and define internal and external interfaces, and coordinates with external data owners
(if needed) to obtain access to new data feeds
Identify and capture requirements in JIRA (in collaboration with functional analysts)
Coordinate with software development teams (e.g., by participating in scrum sessions) to ensure
software is developed according to architecture and interface standards
Refine DODAF system software architectures as needed in collaboration with developers and
enterprise architects
Lead trade studies, analyses of alternatives, and assessments of existing systems
Participate in agile activities including release planning, sprint planning, and retrospectives to
gather and incorporate lessons learned into engineering processes.
Active Top-Secret clearance required
Minimum of a bachelors degree and 15 years of experience in a science or engineering field
Experience with military operations, systems, IT policies, and IT procedures
Expertise with enterprise architectural patterns, processes, standards, and guidelines
Strong problem-solving skills
Excellent written and oral communications skills
Able to work independently and self-identify tasks
Ability to review and maintain existing code and applications
Ability to research and evaluate new concepts and processes to improve performance
Familiarity with Java, Python, JavaScript, SQL, and related ecosystems and frameworks
Familiarity with distributed platforms (i.e. HBase, Kafka, Spark, NiFi) and the cloud (i.e. AWS,
GCP, Azure), preferably Amazon Web Services
Familiarity with no-SQL databases like Neo4j, ElasticSearch, or Cassandra

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