Data Engineer

The Amatriot Group

. Gather, clean, and validate data from multiple sources .

Posted 9/29/2026full-timeUnited StatesSeniorLead💰 $125,000 - $150,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analysis, visualization, and transformation, with a strong ability to communicate insights to both technical and non-technical stakeholders. Proficient in developing interactive dashboards and maintaining data pipelines while ensuring data quality and reliability.

Highest-signal resume keywords

Data Visualization Using KibanaData Cleaning And Transformation Using PythonData Modeling And ETL ProcessesActive TS/SCI ClearanceCurrent Security+ Certification

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisData CleaningData TransformationData ModelingETL ProcessesDashboard DesignData Pipeline DevelopmentSQLPythonR

Soft Skills

Excellent Communication SkillsAttention To DetailCollaborationDocumentation Skills

Tools & Technologies

KibanaElastic StackTableauPower BIGrafanaGitAWS GovCloudAtlassian ToolsDevOpsKubernetes

Certifications & Qualifications

Security+ CertificationTS/SCI Clearance

Industry Keywords

Self-Service AnalyticsAgile MethodologiesBig Data TechnologiesData GovernanceDoD EnvironmentsDISA And DoD NetworksNetwork Routing DevicesText MiningCI/CDContainerized Pipelines

Tech Stack

Tools & technologies

AWSCloudETLGrafanaKubernetesNumpyPandasPythonSQLTableauTypeScript

About the role

Key responsibilities & impact

Gather, clean, and validate data from multiple sources
Analyze complex datasets to identify trends, patterns, and insights
Design and develop interactive dashboards, reports, and visualizations using Kibana
Apply visual design and accessibility principles to dashboard design
Translate analytical results into actionable recommendations and present findings to technical and non-technical audiences
Engage stakeholders to understand business needs, operational challenges, and data requirements
Refine and maintain data transformation pipelines
Develop and maintain self-service analytics tools and reusable data assets
Document data models, business logic, transformation processes, and analytics workflows
Collaborate with data engineers, business analysts, and stakeholders to deliver integrated data solutions

Requirements

What you’ll need

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
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 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 such as 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 collaboration with virtual teams
Preferred qualifications include experience with Elastic Stack, Tableau, Power BI, Grafana, self-service analytics, Agile methodologies, cloud-based data platforms, big data technologies, data governance, DoD environments, DISA and DoD Networks, network routing devices, text mining, CI/CD, containerized pipelines, DevOps, Kubernetes, AWS GovCloud, Atlassian tools, Scrum, and SAFe