{"schemaVersion":"jobsearcher.job.v1","id":"ea774cf35b245939f06d7240","url":"https://jobsearcher.com/jobs/ea774cf35b245939f06d7240","canonicalUrl":"https://jobsearcher.com/jobs/ea774cf35b245939f06d7240","title":"Data Engineer Software Developer","description":"The Leidos Digital Modernization Group seeks a Data Engineer Software Developer for the Global Solution Management - Operations II (GSM-O II) contract, under the Global Automations & Intelligent Network Solutions (GAINS) Team. Seeking a Back-End Developer to join the Real-Time Visibility (RTV) team, focused on designing, building, and maintaining the infrastructure and systems that collect, store, process, and analyze large volumes of network operations data for the DISN network. This role is critical for ensuring that data from disparate sources - such as logs, performance metrics, events, ticketing, ordering, and CMDB systems - is readily available, reliable, and performant for business and mission use. The existing platform is built on Elastic stack and Confluent Kafka platforms. The ideal candidate will have a strong background in data engineering, platform operations, and integration, with experience in large-scale, mission-critical environments.\r\nPrimary Responsibilities\r\nDesigns, builds, and maintains scalable, reliable data systems and pipelines to ingest, process, and transform large, complex, and disparate data sources for analytics and reporting.\r\nUnifies and integrates data from multiple network operations systems into a consistent, accessible platform, ensuring data quality, accuracy, security, and compliance with DoD and DISA requirements.\r\nImplements solutions using Confluent Kafka, Elastic Stack, AWS, and Red Hat OpenShift (Kubernetes), including creating Kafka, Elastic, and Logstash pipelines and supporting Kibana visualizations and dashboards with React, JavaScript, and HTML.\r\nDevelops and manages data warehouses and data lakes to support analytics, reporting, and operational dashboards, optimizing infrastructure for performance, scalability, and cost-effectiveness through automation and best practices.\r\nContinually analyze and optimize ingestion throughput, query performance, indexing strategies, and storage efficiency across Elastic and Kafka platforms.\r\nAutomates data-related tasks such as ETL/ELT processes, data validation, cleansing, monitoring, and supports CI/CD pipelines for automated build, test, and deployment.\r\nCollaborates with data analysts, visualization engineers, and other stakeholders to deliver integrated, actionable data solutions, and documents data architecture, integration patterns, and operational procedures.\r\nTroubleshoots and resolves issues related to data ingestion, processing, and platform performance, storage, memory, partitioning, and cluster performance.\r\nBasic Qualifications\r\nBachelor's degree in Computer Science, Engineering, or related technical discipline and 4+ years of relevant experience.\r\nHands-on experience designing, building, and maintaining data pipelines (ETL/ELT) and integrating multiple, disparate data sources.\r\nExperience with data warehouse and/or data lake technologies (e.g., AWS Redshift, S3, Hadoop, Snowflake, or similar).\r\nProficiency with data engineering tools and languages such as Python, Java, SQL, and shell scripting.\r\nExperience with Elastic Stack (Elasticsearch, Logstash, Kibana) and/or Kafka for data ingestion and processing.\r\nFamiliarity with network operations data (logs, metrics, events, ticketing, CMDB) and related data models.\r\nExperience with Linux/UNIX system administration and automation.\r\nKnowledge of data security, access controls, and compliance frameworks (DoD, DISA, RMF, STIGs).\r\nExperience with CI/CD pipelines, containerized pipelines, version control (Git, Bitbucket), and DevOps practices.\r\nStrong communication and documentation skills for collaboration and knowledge sharing.\r\nMust be able to commute to Scott AFB, IL for up to full-time onsite support.\r\nAbility to obtain interim Secret DoD Security clearance before the start date.\r\nAbility to obtain Security+ certification or equivalent DoD 8570 IAT II certification within 14 days of the start date.\r\nPreferred Qualifications\r\nExperience with DISA, DISN, or other DoD network environments, including developing and deploying software applications that meet DoD security standards (e.g., STIGs), and knowledge of network security, encryption, and access controls in classified environments.\r\nExperience with big data technologies and platforms such as Kafka, Spark, NiFi, Hadoop, Elasticsearch, Logstash, Databricks, and ELK Stack for text mining, summarization, search, and entity extraction.\r\nExperience with cloud-based data platforms (AWS, Azure, GCP, AWS GovCloud), cloud-integrated platforms, and infrastructure as code, including networking and security policies.\r\nFamiliarity with Kubernetes deployment, platform upgrades, patching, configuration management tools (Ansible, Puppet, Chef), and monitoring, alerting, and observability tools (Prometheus, Grafana, Elastic).\r\nExperience with BI tools like Kibana and developing and maintaining technical documentation and runbooks.\r\nStrong understanding and practical experience with Agile methodologies (Scrum, SAFe), and related tools such as Atlassian JIRA and Confluence.\r\nCertified Confluent Developer and Certified Elastic Engineer.\r\nExcellent communication and collaboration skills, with experience working remotely with geographically dispersed teams and within a matrixed organization to combine software, integration, and data engineering practices.\r\nApply knowledge of system architecture, networks, and centralized logging (ELK) to support data transformation initiatives.\r\nCommitment to Non-Discrimination\r\nAll 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.\r\nJ-18808-Ljbffr","company":"Via Logic","rawCompany":"via logic","city":"Springfield","state":"IL","isRemote":false,"isActive":false,"createdAt":"2026-06-25T00:50:16.319Z","occupations":[{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer Software Developer","description":"The Leidos Digital Modernization Group seeks a Data Engineer Software Developer for the Global Solution Management - Operations II (GSM-O II) contract, under the Global Automations & Intelligent Network Solutions (GAINS) Team. Seeking a Back-End Developer to join the Real-Time Visibility (RTV) team, focused on designing, building, and maintaining the infrastructure and systems that collect, store, process, and analyze large volumes of network operations data for the DISN network. This role is critical for ensuring that data from disparate sources - such as logs, performance metrics, events, ticketing, ordering, and CMDB systems - is readily available, reliable, and performant for business and mission use. The existing platform is built on Elastic stack and Confluent Kafka platforms. The ideal candidate will have a strong background in data engineering, platform operations, and integration, with experience in large-scale, mission-critical environments.\r\nPrimary Responsibilities\r\nDesigns, builds, and maintains scalable, reliable data systems and pipelines to ingest, process, and transform large, complex, and disparate data sources for analytics and reporting.\r\nUnifies and integrates data from multiple network operations systems into a consistent, accessible platform, ensuring data quality, accuracy, security, and compliance with DoD and DISA requirements.\r\nImplements solutions using Confluent Kafka, Elastic Stack, AWS, and Red Hat OpenShift (Kubernetes), including creating Kafka, Elastic, and Logstash pipelines and supporting Kibana visualizations and dashboards with React, JavaScript, and HTML.\r\nDevelops and manages data warehouses and data lakes to support analytics, reporting, and operational dashboards, optimizing infrastructure for performance, scalability, and cost-effectiveness through automation and best practices.\r\nContinually analyze and optimize ingestion throughput, query performance, indexing strategies, and storage efficiency across Elastic and Kafka platforms.\r\nAutomates data-related tasks such as ETL/ELT processes, data validation, cleansing, monitoring, and supports CI/CD pipelines for automated build, test, and deployment.\r\nCollaborates with data analysts, visualization engineers, and other stakeholders to deliver integrated, actionable data solutions, and documents data architecture, integration patterns, and operational procedures.\r\nTroubleshoots and resolves issues related to data ingestion, processing, and platform performance, storage, memory, partitioning, and cluster performance.\r\nBasic Qualifications\r\nBachelor's degree in Computer Science, Engineering, or related technical discipline and 4+ years of relevant experience.\r\nHands-on experience designing, building, and maintaining data pipelines (ETL/ELT) and integrating multiple, disparate data sources.\r\nExperience with data warehouse and/or data lake technologies (e.g., AWS Redshift, S3, Hadoop, Snowflake, or similar).\r\nProficiency with data engineering tools and languages such as Python, Java, SQL, and shell scripting.\r\nExperience with Elastic Stack (Elasticsearch, Logstash, Kibana) and/or Kafka for data ingestion and processing.\r\nFamiliarity with network operations data (logs, metrics, events, ticketing, CMDB) and related data models.\r\nExperience with Linux/UNIX system administration and automation.\r\nKnowledge of data security, access controls, and compliance frameworks (DoD, DISA, RMF, STIGs).\r\nExperience with CI/CD pipelines, containerized pipelines, version control (Git, Bitbucket), and DevOps practices.\r\nStrong communication and documentation skills for collaboration and knowledge sharing.\r\nMust be able to commute to Scott AFB, IL for up to full-time onsite support.\r\nAbility to obtain interim Secret DoD Security clearance before the start date.\r\nAbility to obtain Security+ certification or equivalent DoD 8570 IAT II certification within 14 days of the start date.\r\nPreferred Qualifications\r\nExperience with DISA, DISN, or other DoD network environments, including developing and deploying software applications that meet DoD security standards (e.g., STIGs), and knowledge of network security, encryption, and access controls in classified environments.\r\nExperience with big data technologies and platforms such as Kafka, Spark, NiFi, Hadoop, Elasticsearch, Logstash, Databricks, and ELK Stack for text mining, summarization, search, and entity extraction.\r\nExperience with cloud-based data platforms (AWS, Azure, GCP, AWS GovCloud), cloud-integrated platforms, and infrastructure as code, including networking and security policies.\r\nFamiliarity with Kubernetes deployment, platform upgrades, patching, configuration management tools (Ansible, Puppet, Chef), and monitoring, alerting, and observability tools (Prometheus, Grafana, Elastic).\r\nExperience with BI tools like Kibana and developing and maintaining technical documentation and runbooks.\r\nStrong understanding and practical experience with Agile methodologies (Scrum, SAFe), and related tools such as Atlassian JIRA and Confluence.\r\nCertified Confluent Developer and Certified Elastic Engineer.\r\nExcellent communication and collaboration skills, with experience working remotely with geographically dispersed teams and within a matrixed organization to combine software, integration, and data engineering practices.\r\nApply knowledge of system architecture, networks, and centralized logging (ELK) to support data transformation initiatives.\r\nCommitment to Non-Discrimination\r\nAll 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.\r\nJ-18808-Ljbffr","datePosted":"2026-06-25T00:50:16.319Z","dateModified":"2026-06-25T00:50:16.319Z","hiringOrganization":{"@type":"Organization","name":"Via Logic","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Springfield","addressRegion":"IL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"ea774cf35b245939f06d7240"},"url":"https://jobsearcher.com/jobs/ea774cf35b245939f06d7240"}}