Global Channel Management, Inc.

Global Channel Management, Inc.

Website

Data Engineer (Top Security Clearance)

Role

Data Engineer (Top Security Clearance)

Job type

Full-time

Posted

Yesterday

Salary

Not disclosed by employer

Job description

Data Engineer must have top security clearance with 14 years’ experience Data Engineer requires:

  • Must be certified DoD IAT II or higher
  • Security Clearance-Current active TS/SCI eligible
  • At least 14 years of experience in one of the following: Software development/engineering, data engineering, database engineering, etc. (+4 additional years relevant experience can substitute for a BS degree)
  • Experience with Unit and Integration testing.
  • Fluency with data extraction, custom translation development, and loading including data prep and labeling to enable data analytics.
  • Familiarity with various log formats such as JSON, XML, and others.
  • Experience with data flow, management, and storage solutions (i.e. Kafka, NiFi, and AWS S3 and SQS solutions)
  • Ability to decompose technical problems and troubleshoot both system and dataflow issues.
  • Willingness to do a programming challenge during the interview process.
  • Experience with Zoom/Teams/Meet style team meetings
  • Prior experience in cyber/network security operations.
  • Familiarity with Agile environments.
  • Good communication skills.
  • Developed documentation and training in areas of expertise.
  • Amazon S3, SQS/SNS Admin experience
  • Apache Airflow Workloads via UI or CLI a plus
  • Experience with Mage AI a plus
  • Kubernetes, Docker Data Engineer duties
  • Work with big data systems and complex structured and unstructured data sets.
  • Support government data acquisition, analysis, and sharing efforts.
  • Focus on software infrastructure for big data scaled ingestion, including understanding and ingesting new data sources, modifying existing data sources, implementing testing, establishing monitoring, and troubleshooting.
  • Lead the department in achieving strategic goals, ensuring data integrity, and fostering a collaborative and innovative work
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