Senior Data Engineering Software Developer

The Amatriot Group

. Design, build, and maintain scalable data systems and pipelines for ingesting, processing, and transforming large, complex, and disparate data sources .

Posted 9/29/2026full-timeUnited StatesSenior💰 $175,000 - $200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining scalable data systems and pipelines, with a strong focus on ETL/ELT processes, data integration, and compliance with DoD and DISA requirements. Proficient in utilizing tools such as Kafka, Elastic Stack, and AWS to optimize data infrastructure and support analytics and reporting.

Highest-signal resume keywords

ETL/ELT Data Pipeline DevelopmentKafka and Elastic Stack ProficiencyAWS Data Warehouse and Data Lake TechnologiesCI/CD and DevOps PracticesActive TS/SCI Security Clearance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonJavaSQLShell ScriptingData Warehouse TechnologiesData Lake TechnologiesLinux/UNIX System AdministrationData Security and ComplianceData Ingestion and ProcessingData Architecture Documentation

Soft Skills

Strong Communication SkillsCollaboration and Knowledge Sharing

Tools & Technologies

KafkaElastic StackAWSRed Hat OpenShiftKubernetesGitBitbucketKibanaLogstashElasticsearch

Certifications & Qualifications

Security+ CertificationActive TS/SCI Security Clearance

Industry Keywords

DoD ComplianceDISA RequirementsNetwork Operations DataData Quality and AccuracyData Validation and Cleansing

Tech Stack

Tools & technologies

Amazon RedshiftAWSElasticSearchETLHadoopJavaJavaScriptKafkaKubernetesLinuxLogstashOpenShiftPythonReactShell ScriptingSQLTypeScriptUnix

About the role

Key responsibilities & impact

Design, build, and maintain scalable data systems and pipelines for ingesting, processing, and transforming large, complex, and disparate data sources
Unify and integrate data from multiple network operations systems into a consistent and accessible platform
Create and maintain Kafka, Elastic, and Logstash pipelines for enterprise data ingestion and processing
Automate ETL/ELT processes, data validation, cleansing, monitoring, and related data-engineering activities
Implement data solutions using Confluent Kafka, Elastic Stack, AWS, and Red Hat OpenShift/Kubernetes
Develop and manage data warehouses and data lakes supporting analytics, reporting, and operational dashboards
Optimize data infrastructure for scalability, reliability, performance, and cost effectiveness
Analyze and optimize ingestion throughput, query performance, indexing strategies, storage efficiency, and cluster utilization
Troubleshoot and resolve data ingestion, processing, storage, memory, partitioning, and cluster performance issues
Support Kibana visualizations and dashboards using React, JavaScript, and HTML
Collaborate with data analysts, visualization engineers, and stakeholders to deliver integrated data solutions
Ensure data quality, accuracy, security, and compliance with DoD and DISA requirements
Support CI/CD pipelines and apply version control and DevOps practices
Document data architecture, integration patterns, platform configurations, and operational procedures
Collaborate across software, integration, data, analytics, and network operations teams

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Engineering, or a related technical discipline with 8+ years of relevant experience
Hands-on experience designing, building, and maintaining ETL/ELT data pipelines and integrating multiple disparate data sources
Experience with data warehouse and/or data lake technologies such as AWS Redshift, Amazon S3, Hadoop, Snowflake, or similar platforms
Experience with Elastic Stack, including Elasticsearch, Logstash, and Kibana, and/or Kafka for data ingestion and processing
Experience with Linux/UNIX system administration and automation
Experience with CI/CD pipelines, containerized pipelines, version control technologies such as Git and Bitbucket, and DevOps practices
Familiarity with network operations data, including logs, metrics, events, ticketing, CMDB data, and related data models
Proficiency with Python, Java, SQL, and shell scripting
Knowledge of data security, access controls, and compliance frameworks, including DoD, DISA, RMF, and STIG requirements
Strong communication and documentation skills supporting collaboration and knowledge sharing
Current Security+ certification or higher/equivalent certification
Active TS/SCI security clearance
Willingness and ability to complete and maintain additional customer suitability screenings throughout employment