Data Analytics & Visualization Engineer

Leidos•Shiloh, IL

2d•$73,450 - $132,775•Onsite

About The Position

Leidos Digital Modernization Group is seeking a Data Analytics & Visualization Engineer for the Global Solution Management – Operations II (GSM-O II) contract, on the Global Automations & Intelligent Network Solutions (GAINS) Team. The role is part of the Real-Time Visibility (RTV) team and focuses on transforming raw data into clean, reliable, accessible datasets and delivering actionable insights through analytics and visualizations. Kibana is the primary visualization platform; experience with similar tools such as Tableau, Power BI, or Grafana is preferred. As part of a fast-paced Agile development and implementation team, the engineer will help architect, design, and develop a unified UX/UI that provides a holistic single-pane-of-glass interface for an integrated Kibana solution. The position also works with operational end users and support teams on requirements analysis and on designing, developing, and demonstrating UI mockups and wireframes. The candidate must be within driving distance of Scott AFB, Illinois, and provide full-time onsite support. A Secret clearance is required by the start of employment, and Security+ certification must be obtained within 14 days after the start date.

Requirements

Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related technical discipline, plus 4 or more years of relevant experience.
Demonstrable experience designing and building data visualizations and dashboards using Kibana.
Hands-on experience with data cleaning, transformation, and analysis using tools such as Python (pandas, numpy), SQL, or R.
Strong understanding of data modeling, ETL processes, and data pipeline development.
Ability to translate business requirements into technical solutions and actionable insights.
Excellent communication skills and ability to present complex data findings to diverse audiences.
Experience with version control systems such as Git and collaborative development environments.
Strong attention to detail and commitment to data quality and reliability.
Strong communication and documentation skills for collaboration and knowledge sharing.
Experience in application integration design and communication skills for collaboration with virtual teams.
Ability to obtain interim Secret DoD security clearance before the start date; Secret clearance is required at the start of employment.
Ability to obtain Security+ certification or equivalent DoD 8570 IAT II certification within 14 days of the start date.
Must be able to commute to Scott AFB, Illinois, for full-time onsite support.

Nice To Haves

Experience with Elastic Stack (Elasticsearch, Logstash, Kibana) for data analysis and visualization.
Experience with Tableau, Power BI, Grafana, or similar data visualization tools.
Experience developing self-service analytics solutions and reusable data assets.
Familiarity with Agile methodologies and project management tools such as JIRA and Confluence.
Experience with cloud-based data platforms such as AWS, Azure, or GCP and big data technologies.
Knowledge of data governance, security, and compliance best practices.
Experience documenting data models, business logic, and transformation processes.
Experience working in mission-driven or operational environments.
Experience developing and deploying software in a DoD environment; DISA experience is a plus.
Experience with DISA and DoD networks.
Understanding of network routing devices and network device configurations.
Experience with text-mining tools and techniques, including ELK Stack for summarization, search, and entity extraction.
Familiarity with CI/CD techniques, containerized pipelines, and DevOps practices.
Familiarity with Kubernetes deployment, Agile methodologies, and related tools.
Familiarity with AWS GovCloud and cloud infrastructure, including networking and security policies.
Experience with Atlassian tools, including JIRA and Confluence.
Strong understanding of Agile methodologies, including Scrum and SAFe.
Experience working remotely with a geographically dispersed team.
Excellent communication and collaboration skills, including the ability to engage with customers, stakeholders, and team members.

Responsibilities

Gather, clean, and validate data from multiple sources to ensure accuracy, consistency, and usability.
Analyze complex datasets to identify trends, patterns, and insights that address operational and business questions.
Design and develop interactive dashboards, reports, and visualizations, primarily using Kibana, and communicate findings clearly to stakeholders.
Apply visual design principles, including visual hierarchy, proximity, similarity, font selection, and color theory, while considering layout, content organization, and accessibility guidelines.
Translate analytical results into actionable recommendations and present findings to technical and non-technical audiences.
Engage with stakeholders to understand business needs, operational challenges, and data requirements.
Refine and maintain data transformation pipelines to ensure data quality, reliability, and alignment with business logic.
Develop and maintain self-service analytics tools and reusable data assets for end users.
Document data models, business logic, transformation processes, and analytics workflows.
Collaborate with data engineers, business analysts, and other stakeholders to deliver integrated data solutions.
Work with operational end users and support teams to perform requirements analysis and design, develop, and demonstrate UI mockups and wireframes.
Contribute to the architecture, design, and development of a unified UX/UI for an integrated Kibana solution.