# Data Engineer **Company**: Leidos **Location**: Washington, DC, DC **Work arrangement**: hybrid **Experience**: senior **Job type**: full-time **Salary**: $92,300.00 - $166,850.00 **Category**: Data Science **Industry**: Technology **Apply**: https://leidos.wd5.myworkdayjobs.com/en-US/External/job/Washington-DC/Data-Engineer_R-00193022?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_1557812e-a4a ## Description Join Leidos' Digital Sector as we stand up a brand-new Agile development team at the forefront of federal IT modernization, delivering real digital transformation where it matters most. This is a rare ground-floor opportunity to architect, build, and integrate cutting-edge infrastructure solutions in support of some of our nation's most sensitive and critical missions. **What to expect:** - Early-stage flexibility with partial telework during initial development phases - Full-time on-site presence at secure facility in Washington, DC will be required as the program matures - A collaborative, Agile environment where your input shapes the architecture from day one - Dev platform based on ServiceNow, Elastic, Kafka, AWS and RedHat **Primary 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 answer operational and business questions. - Design and develop interactive dashboards, reports, and visualizations using Kibana as the primary tool, ensuring findings are communicated clearly and effectively to stakeholders. - Apply visual design principles, such as visual hierarchy, proximity, similarity, font selection, and colour theory, and demonstrate an understanding of visual, 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, ensuring data quality, reliability, and alignment with business logic. - Develop and maintain self-service analytics tools and reusable data assets to empower end users. - Document data models, business logic, transformation processes, and analytics workflows for transparency and knowledge sharing. - Work closely with data engineers, business analysts, and other stakeholders to deliver integrated data solutions. **Basic Qualifications:** - Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or related technical discipline and 8+ years of relevant experience. - An active TS/SCI clearance - Willingness to complete and maintain additional customer suitability screenings throughout employment - Current Security+ certification or higher/equivalent - 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, with the ability to present complex data findings to diverse audiences. - Experience with version control systems (e.g., 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 strong communication skills for collaboration with virtual teams. **Preferred Qualifications:** - Experience with Elastic Stack (Elasticsearch, Logstash, Kibana) for data analysis and visualization. - Experience with other data visualization tools such as Tableau, Power BI, Grafana, or similar. - Experience developing self-service analytics solutions and reusable data assets. - Familiarity with Agile methodologies and project management tools (e.g., JIRA, Confluence). - Experience with cloud-based data platforms (AWS, Azure, 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 tools. - Familiarity with AWS GovCloud and cloud infrastructure, including networking and security policies. - Experience with Agile methodologies and related tools. - Strong understanding of Agile methodologies, including Scrum and SAFe. - Experience working remotely with a geographically dispersed team. - Excellent communication and collaboration skills, with the ability to engage with customers, stakeholders, team members. ## Skills ### Required - TS/SCI clearance - Security+ certification - Kibana - Python - SQL - R - Git - Agile methodologies ### Nice to have - Elastic Stack - Tableau - Power BI - Grafana - AWS - Azure - GCP - Kubernetes deployment - CI/CD techniques - DevOps practices --- Source: [Apply at leidos.wd5.myworkdayjobs.com](https://leidos.wd5.myworkdayjobs.com/en-US/External/job/Washington-DC/Data-Engineer_R-00193022?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)