Data Engineer

Leidos; Washington (District of Columbia); Hybrid; USD 120,000 - 170,000; Full time

Job summary

Leidos is standing up a new Agile development team in Washington, DC, to modernize federal IT and deliver critical digital transformation. The role focuses on data analytics, dashboards, and self-service assets in a secure, collaborative environment.

You will work with Elastic Stack, Kibana, and cloud-based data platforms, engaging stakeholders across technical and non-technical audiences to drive insights.

Qualifications

• Degree in a technical field and 8+ years of experience, or equivalent.
• Active TS/SCI clearance and ongoing suitability screenings.
• Security+ or higher certification.
• Experience designing dashboards with Kibana.
• Shorthand in Python, SQL, or R for data Cleaning, transform, analysis.
• Strong data modeling, ETL, and data pipeline skills.
• Ability to translate business needs into technical solutions and insights.
• Excellent written and spoken communication; capable of stakeholder presentations.
• Experience with Git and collaborative development tools.

Responsibilities

• Gather, clean, and validate data from multiple sources for accuracy.
• Analyze datasets to identify trends and insights addressing business questions.
• Design and develop dashboards and reports using Kibana as the primary tool.
• Apply UI/visual design basics to ensure accessible and clear visualizations.
• Translate analytics results into actionable recommendations for stakeholders.
• Collaborate with data engineers, analysts, and stakeholders on integrated data solutions.
• Maintain data transformation pipelines and ensure data quality and alignment with logic.
• Develop self-service analytics tools and reusable data assets for end users.
• Document data models, logic, transformations, and analytics workflows.

Skills

TS/SCI clearance

Data visualization

Python (pandas)

SQL

R

ETL processes

Data modeling

Git

Communication

Documentation

Agile

Education

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or related technical discipline

Tools

Kibana

Elasticsearch

Logstash

Tableau

Power BI

Grafana

JIRA

Confluence

Git

AWS

Azure

GCP

Kubernetes

Job 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

What you'll need:

• An active TS/SCI clearance (required for consideration)
• Willingness to complete and maintain additional customer suitability screenings throughout employment
• Current Security+ certification or higher/equivalent

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.
• Applying the basics of visual design (i.e. UI) principles in their design work such as visual hierarchy, proximity, similarity, font selection and color 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. Add'l experience may be considered in lieu of degree.
• 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. Experience with Atlassian tool