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 nations 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 youll 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:

• Bachelors degree in Computer Science Data Science Engineering Mathematics Statistics or related technical discipline and 8 years of relevant experience. Addl 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 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 with the ability to engage with customers stakeholders team members.

#cmpss

If youre looking for comfort keep scrolling. At Leidos we outthink outbuild and outpace the status quo because the mission demands it. Were not hiring followers. Were recruiting the ones who disrupt provoke and refuse to fail. Step 10 is ancient history. Were already at step 30 and moving faster than anyone else dares.

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job education experience knowledge skills and abilities as well as internal equity alignment with market data applicable bargaining agreement (if any) or other law.