Data Engineering Specialist

Role Overview

• Contribute to data engineering efforts by supporting the integration and enrichment of DISN network topology data for advanced data correlation and analytics.
• Participate in technical discussions with internal and external stakeholders to support solution design and implementation.
• Develop, test, and deploy data pipelines and integration solutions across distributed systems and cloud environments, using Python, JavaScript, Java, and SQL.
• Assist in requirements gathering and collaborate with stakeholders to design and implement data enrichment pipelines, integrating diverse data sources into Confluent (Kafka) and Elastic platforms.
• Develop and maintain Kibana visualizations and dashboards to support operational insights.
• Support Kafka system integrations between Elasticsearch/Logstash and other systems.
• Collaborate within Agile scrum teams, contribute to team deliverables, and share knowledge with peers.
• Communicate and coordinate effectively with geographically distributed team members to achieve project objectives.
• Troubleshoot and help resolve installation, infrastructure, and system issues; report and help mitigate technical risks.
• Develop and maintain technical documentation, including DoD requirements, interface documents, and security compliance artifacts.
• Ensure solutions comply with DoD security standards and guidelines, and support platform sustainment and reliability by addressing operational challenges as needed.

Requirements

• Bachelor’s degree from an accredited college in a related discipline, or equivalent experience/combined education, with 4–8 years of professional experience; or 2–6 years of professional experience with a related master’s degree.
• 4+ years of experience in software engineering, data engineering, or business/data analysis, preferably within Agile/Scrum teams.
• Hands-on software development experience with Python, Java, SQL, and working knowledge of JavaScript and HTML.
• Experience with distributed version control systems such as Git and Bitbucket.
• Proficiency with data analytics and visualization tools, such as Kibana, Power BI, Tableau, and the ELK stack (Elasticsearch, Logstash, Kibana).
• Experience designing, developing, and optimizing ETL processes and data pipelines, including integration with event streaming platforms like Kafka.
• Background in data modeling, unification, and analytics to support data-driven projects.
• Experience implementing application and system integrations, including Kafka and Elastic platform integrations.
• Understanding of networking and internet protocols, with experience supporting network-centric or data-driven environments.
• Experience developing and deploying software on UNIX/Linux command line platforms.
• Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders.
• Experience with Agile project management and collaboration tools such as JIRA and Confluence.
• Active Secret DoD Security clearance prior to start date.
• Active Security+ Certification (or other applicable DoD 8570 IAT II certification) prior to start date.

Tech Stack

• Cloud
• Distributed Systems
• ElasticSearch
• ETL
• Java
• JavaScript
• Kafka
• Linux
• Logstash
• Python
• SQL
• Tableau
• Unix

Benefits

• Health and Wellness programs
• Income Protection
• Paid Leave
• Retirement