Data Engineering Specialist

Summary The Leidos Digital Modernization Group seeks a Data Engineering Specialist to support the Global Management System (GMS) Team for the Global Solutions Management - Operations II (GSM-O II) contract. This contract covers Operations, Sustainment, Maintenance, Repair and Defense of the Defense Information System Network (DISN) within the DOD Information Network (DODIN) in support of the Defense Information Systems Agency (DISA). The role focuses on integrating and enriching DISN network topology data to enable advanced data correlation and analytics. Location and Security Candidate must be within commuting distance of Scott AFB or Ft. Meade. A Secret clearance and Security+ certification (or other applicable DoD 8570 IAT II certification) are required at the start of employment. Key Responsibilities Support 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. Assist in requirements gathering and design & 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. Coordinate effectively with geographically distributed team members to achieve project objectives. Troubleshoot and resolve installation, infrastructure, and system issues; report and 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, supporting platform sustainment and reliability. Basic Qualifications 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. 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. 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. Experience with Agile project management and 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. Preferred Qualifications Experience with CI/CD techniques, containerized pipelines, and DevOps practices. Familiarity with artificial intelligence and machine learning concepts. Experience with data integration, storage, and analysis technologies such as Kafka, Elastic, Spark, or NiFi. Hands‑on experience with Kafka connector integrations, ksqlDB, and Kafka Streams for real‑time data processing. Experience developing and optimizing Kafka system integrations between Elasticsearch/Logstash and other systems. Experience designing and implementing application deployment pipelines and developing software in containerized environments using Kubernetes and Docker. Experience with AWS cloud environments, including basic configuration of cloud infrastructure, networking, and security policies. Experience with full software lifecycle automation, including design, development, testing, deployment, and production deployments. Experience developing automated software testing pipelines using tools such as Ansible, Selenium, JMeter, JUnit, or similar. Experience developing and deploying software in DoD environments, meeting DoD security standards and implementing security guidelines. Experience supporting the development of DoD requirements, traceability matrices, project plans/schedules, and contributing to software systems engineering documents and interface documents (IDDs/ICDs). Experience with Agile methodologies and Atlassian tools, including JIRA and Confluence, for project tracking and collaboration. Ability to work effectively in remote, geographically dispersed teams. Pay Range $87,100.00 - $157,450.00 Benefits Competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. EEO Statement All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws. #J-18808-Ljbffr