Data Engineer Software Developer

JIRA Linux CI/CD DevOps Kibana Ansible Grafana Big Data Equities Indexing Logstash Dashboard Analytics OpenShift Bitbucket Confluent Operations Management Automation Kubernetes Data Lakes Encryption Databricks Scalability Market Data Text Mining Apache NiFi Data Quality Apache Kafka Communication Observability Telecommuting Data Security Collaboration Apache Hadoop Virtual Teams Elasticsearch Data Recording Data Ingestion Data Pipelines Version Control Microsoft Azure Data Governance Data Validation Amazon Redshift Ancient History Computer Science Data Integration Business Metrics Data Warehousing Data Engineering Network Security Secret Clearance Agile Methodology CompTIA Security+ Data Architecture Query Performance Performance Metric Security Clearance Systems Integration Amazon Web Services Elastic (ELK) Stack User Interface (UI) Data Transformation User Experience (UX) Systems Architecture Intelligent Networks Business Intelligence Requirements Analysis Prometheus (Software) Technical Documentation Configuration Management SQL (Programming Language) IAT Level II Certification Snowflake (Data Warehouse) Java (Programming Language) Git (Version Control System) Extract Transform Load (ETL) Scrum (Software Development) Infrastructure as Code (IaC) React.js (Javascript Library) Python (Programming Language) Back End (Software Engineering) JavaScript (Programming Language) Configuration Management Databases Chef (Configuration Management Tool) Puppet (Configuration Management Tool)

Salesforce Developer, 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., * Designs, builds, and maintains scalable, reliable data systems and pipelines to ingest, process, and transform large, complex, and disparate data sources for analytics and reporting.

• Unifies 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.
• Implements 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.
• Develops 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.
• Continually analyze and optimize ingestion throughput, query performance, indexing strategies, and storage efficiency across Elastic and Kafka platforms.
• Automates data-related tasks such as ETL/ELT processes, data validation, cleansing, monitoring, and supports CI/CD pipelines for automated build, test, and deployment.
• Collaborates with data analysts, visualization engineers, and other stakeholders to deliver integrated, actionable data solutions, and documents data architecture, integration patterns, and operational procedures.
• Troubleshoots and resolves issues related to data ingestion, processing, and platform performance, storage, memory, partitioning, and cluster performance., Finance Tooling Equities WordPress Automation Mentorship TypeScript Innovation Salesforce Data Lakes Databricks Mathematics Derivatives Fixed Income Communication Tax Exemption Self-Motivation Computer Science Financial Services Customer Engagement Amazon Web Services Information Systems Time Off Management Software Development Technology Solutions Technical Leadership Relational Databases Securities (Finance) Independent Thinking Strategic Objectives Technology Ecosystems Full Stack Development Intellectual Curiosity C# (Programming Language) SQL (Programming Language) Java (Programming Language) Front End (Software Engineering) JavaScript (Programming Language) Object-Oriented Programming (OOP) Application Programming Interface (API) +0

Google IT Automation with Python Data Engineer Software Developer Leidos Scott Air Force Base, IL*On-Site Unix JIRA Linux CI/CD DevOps Kibana Ansible Grafana Big Data Equities Indexing Logstash Dashboard Analytics OpenShift Bitbucket Confluent Operations Management Automation Kubernetes Data Lakes Encryption Databricks Scalability Market Data Text Mining Apache NiFi Data Quality Apache Kafka Communication Observability Telecommuting Data Security Collaboration Apache Hadoop Virtual Teams Elasticsearch Data Recording Data Ingestion Data Pipelines Version Control Microsoft Azure Data Governance Data Validation Amazon Redshift Ancient History Computer Science Data Integration Business Metrics Data Warehousing Data Engineering Network Security Secret Clearance Agile Methodology CompTIA Security+ Data Architecture Query Performance Performance Metric Security Clearance Systems Integration Amazon Web Services Elastic (ELK) Stack User Interface (UI) Data Transformation User Experience (UX) Systems Architecture Intelligent Networks Business Intelligence Requirements Analysis Prometheus (Software) Technical Documentation Configuration Management SQL (Programming Language) IAT Level II Certification Snowflake (Data Warehouse) Java (Programming Language) Git (Version Control System) Extract Transform Load (ETL) Scrum (Software Development) Infrastructure as Code (IaC) React.js (Javascript Library) Python (Programming Language) Back End (Software Engineering) JavaScript (Programming Language) Configuration Management Databases Chef (Configuration Management Tool) Puppet (Configuration Management Tool) +0

Salesforce Developer Exploitation Specialist/GDAT Software Engineer Leidos Saint Louis, MO*On-Site Sensors Debating Equities Operations PostgreSQL Market Data Data Analysis .NET Framework Windows Desktop Microsoft Access Software Testing Amazon Web Services Software Engineering Command-Line Interface Geospatial Intelligence User Interface (UI) Design Visual Basic (Programming Language) Counter Intelligence Polygraph (CI Clearance) Top Secret-Sensitive Compartmented Information (TS/SCI Clearance) +0

As a key Real-Time Visibility team member, you will be conducting design and implementation for a variety of solution capabilities to integrating various data sources into Confluent (Kafka) and Elastic platforms, design of robust data integration solutions, and adhering to the program's CI/CD processes and data governance practices. You will an integral member of a fast paced, Agile development and implementation team to architect, design and develop data integration solutions (Extract, Transform, Load) to support a unified User Experience / User Interface (UX/UI) that provides a holistic single-pane-of-glass interface for an integrated solution on the Elastic platform. You will also work with operational end users and support teams to perform requirements analysis, as well as design, develop and demonstrate mockups and wireframes.

Candidate must be within driving distance of Scott AFB. At a minimum, a Secret clearance is required upon the start of employment and within 14 days following the start date the employee must obtain their Security + certification., * Bachelor's degree in Computer Science, Engineering, or related technical discipline and 4+ years of relevant experience.

• Hands-on experience designing, building, and maintaining data pipelines (ETL/ELT) and integrating multiple, disparate data sources.
• Experience with data warehouse and/or data lake technologies (e.g., AWS Redshift, S3, Hadoop, Snowflake, or similar).
• Proficiency with data engineering tools and languages such as Python, Java, SQL, and shell scripting.
• Experience with Elastic Stack (Elasticsearch, Logstash, Kibana) and/or Kafka for data ingestion and processing.
• Familiarity with network operations data (logs, metrics, events, ticketing, CMDB) and related data models.
• Experience with Linux/UNIX system administration and automation.
• Knowledge of data security, access controls, and compliance frameworks (DoD, DISA, RMF, STIGs).
• Experience with CI/CD pipelines, containerized pipelines, version control (Git, Bitbucket), and DevOps practices.
• Strong communication and documentation skills for collaboration and knowledge sharing.
• Must be able to commute to Scott AFB, IL for up to full-time onsite support.
• Ability to obtain interim Secret DoD Security clearance before the start date.
• Ability to obtain Security+ certification or equivalent DoD 8570 IAT II certification within 14 days of the start date., * Experience 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.
• Experience 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.
• Experience with cloud-based data platforms (AWS, Azure, GCP, AWS GovCloud), cloud-integrated platforms, and infrastructure as code, including networking and security policies.
• Familiarity with Kubernetes deployment, platform upgrades, patching, configuration management tools (Ansible, Puppet, Chef), and monitoring, alerting, and observability tools (Prometheus, Grafana, Elastic).
• Experience with BI tools like Kibana and developing and maintaining technical documentation and runbooks.
• Strong understanding and practical experience with Agile methodologies (Scrum, SAFe), and related tools such as Atlassian JIRA and Confluence.
• Certified Confluent Developer and Certified Elastic Engineer.
• Excellent 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.
• Apply knowledge of system architecture, networks, and centralized logging (ELK) to support data transformation initiatives.

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.

Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits .

Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com .