Data Engineer

The Amatriot Group; Washington (District of Columbia); On-site; USD 125,000 - 150,000; Full time

Job summary

The Amatriot Group in Washington, DC is seeking a seasoned data analytics professional for a 100% onsite role to drive data-driven decisions for mission-critical programs. The position requires TS/SCI clearance and strong visualization/analytics background.

You will gather and transform data, develop Kibana dashboards, and present insights to both technical and non-technical audiences, collaborating with data engineers and stakeholders across teams.

Qualifications

• Bachelor's degree in a technical discipline and 8+ years of relevant experience.
• Active TS/SCI clearance.
• Willingness to complete additional suitability screenings.
• Current Security+ certification or higher/equivalent.
• Experience designing and building Kibana dashboards.
• Hands-on data cleaning, transformation, and analysis using Python, SQL, or R.
• Strong data modeling, ETL, and pipeline development knowledge.
• Ability to translate business requirements into technical solutions.
• Excellent communication and documentation skills.
• Experience with Git and collaborative development environments.
• Experience in DoD or mission-driven environments is a plus.

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.

Skills

Kibana dashboards

Python (pandas numpy)

SQL

R

ETL pipelines

Data modeling

Data cleaning

Communication skills

Git / version control

Stakeholder engagement

Education

Bachelor's degree in a technical field

Tools

Elastic Stack

Tableau

Power BI

Grafana

JIRA

Confluence

AWS

Kubernetes

Job description

Location: Washington, DC 100% Onsite Clearance: Top Secret/SCI Job Type: Full-time Target Salary Range*: $125,000 - $150,000

• This represents the potential salary range for this position depending on education level, years of experience and/or certifications in addition to other position specific requirements which may impact salary

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 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.

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 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.