Data Engineer

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.