Data Engineer

Leidos is seeking a Data Engineer to support the setup of an Agile development team for federal IT modernization. The role focuses on gathering and transforming data, performing dataset analysis, and delivering dashboards and self-service analytics for technical and non-technical stakeholders in Washington, DC.

Location

Washington, DC (onsite)

Salary

USD 92,300 - 166,850 per yearly

Key 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 using Kibana as the primary tool for clear stakeholder communication.
• Apply visual design fundamentals, including visual hierarchy, proximity, similarity, font selection, and color theory, with attention to visual, layout, content organization, and accessibility guidelines.
• Translate analytical results into actionable recommendations and present findings to both 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 support end users.
• Document data models, business logic, transformation processes, and analytics workflows for transparency and knowledge sharing.
• Collaborate with data engineers, business analysts, and other stakeholders to deliver integrated data solutions.

Required Qualifications

• Active TS/SCI clearance (required for consideration).
• Willingness to complete and maintain additional customer suitability screenings throughout employment.
• Current Security+ certification or higher/equivalent.
• Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or related technical discipline and 8+ years of relevant experience. Additional experience may be considered in lieu of degree.
• Experience designing and building data visualizations and dashboards using Kibana.
• Hands-on experience with data cleaning, transformation, and analysis using 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, including the ability to present complex 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 with application integration design and strong communication skills for collaboration with virtual teams.

Technologies

• ServiceNow
• Elastic
• Kafka
• AWS
• RedHat
• TS/SCI clearance
• Security+
• Kibana
• Python
• pandas
• numpy
• SQL
• R
• Git
• Elasticsearch
• Logstash
• Tableau
• Power BI
• Grafana
• JIRA
• Confluence
• Azure
• GCP
• ELK Stack
• CI/CD
• Kubernetes

What to Expect

• Early-stage flexibility with partial telework during initial development phases.
• Full-time on-site presence at a secure facility in Washington, DC as the program matures.
• A collaborative, Agile environment where input shapes the architecture from day one.
• Dev platform based on ServiceNow, Elastic, Kafka, AWS, and RedHat.

Benefits

• Health and Wellness programs
• Income Protection
• Paid Leave
• Retirement

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, including Atlassian tools such as 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.