Senior Software Engineer

2 days ago


Fort Meade, Florida, United States Belay Technologies Full time
Belay Technologies is a leading provider of technology and engineering solutions to the DoD and commercial markets. As a Mission Intelligence Team Member, you will play a critical role in maintaining and advancing our mission-essential business intelligence platform. Our team supports data engineering, analysis, and automation efforts, ensuring the availability of our enterprise-wide platform. Your primary responsibility will be to ensure the success of this mission-critical initiative.

Your key responsibilities will include:
  • Maintaining and enhancing the business intelligence platform to meet evolving customer needs.
  • Eliciting requirements from stakeholders, gathering and analyzing data, and developing solutions for delivering key metrics.
  • Designing and implementing ETL workflows to convert and normalize data.
  • Augmenting the platform with new tools or technologies.
  • Providing guidance and mentorship to junior software engineers and data scientists.

The ideal candidate will have a strong background in software development, particularly in Java and Python, as well as experience with Elastic Stack components (Elasticsearch, Kibana). Familiarity with customer authentication and authorization platforms and standard is also desired. Experience with one or more ETL or data engineering platforms (e.g., Apache NiFi, AirFlow) and service containerization and deployment with Docker/Kubernetes is highly valued. Strong knowledge of Git for software version control and Atlassian Tools (Jira, Confluence) is also essential.

Requirements and Qualifications:
  • TS/SCI Clearance with polygraph.
  • 12 yrs., B.S. in a technical discipline or 4 additional yrs. in place of B.S.
  • Production-grade software development experience in Java and Python.
  • Experience deploying and maintaining Elastic Stack components (Elasticsearch, Kibana).
  • Familiarity with customer authentication and authorization platforms and standard.
  • Experience with one or more ETL or data engineering platforms (e.g., Apache NiFi, AirFlow).
  • Experience with service containerization and deployment with Docker/Kubernetes.
  • Familiarity with Git for software version control.
  • Experience with Atlassian Tools (Jira, Confluence).


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