Data Integration Engineer

Data Integration Engineer

• Location: Ft Meade, MD
• Clearance: US Citizen with DoD Secret
• Work Schedule: Remote (The candidate must be within commuting distance of Ft. Meade)
• Certification: Security+ CE required

Primary Responsibilities:

• 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

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.
• 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.

Preferred Qualifications:

• Experience with CI/CD techniques, containerized pipelines, and DevOps practices, including automating software delivery processes.
• Familiarity with artificial intelligence and machine learning concepts, and interest in supporting the integration of AI/ML capabilities into data platforms.
• Experience with data integration, storage, and analysis technologies such as Kafka, Elastic, Spark, or NiFi.
• Hands-on experience with Kafka connector integrations and working knowledge of ksqlDB and Kafka Streams for real-time data processing.
• Ability to develop software designs for streaming data applications, particularly using Kafka Streams or ksqlDB.
• 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.
• Familiarity with Kubernetes deployment, Agile methodologies, and collaborative development tools.
• Experience developing and deploying software in AWS cloud environments, including basic configuration of cloud infrastructure, networking, and security policies (GovCloud experience a plus).
• Experience with full software lifecycle automation (design, development, testing, deployment), including production deployments.
• Experience designing and building automated software testing pipelines using tools such as Ansible, Selenium, JMeter, Junit, or similar.
• Experience developing and deploying software in DoD environments (DISA experience a plus), including building applications that meet DoD security standards and implementing security guidelines (e.g., STIGs).
• Ability to support the development of DoD requirements, traceability matrices, project plans/schedules, and contribute 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, demonstrating strong communication and collaboration skills.

If you want to apply for this job, contact us at HR@rmantras.com