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, including ETL/ELT processes and data integration from disparate sources. Proficient in utilizing tools such as Kafka, Elastic Stack, and AWS for data management and analytics while ensuring compliance with security standards.

Highest-signal resume keywords

ETL/ELT Data Pipeline DevelopmentElastic Stack (Elasticsearch, Logstash, Kibana)Confluent Kafka ImplementationAWS Data Warehouse Technologies (Redshift, S3)CI/CD Pipeline Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentData IntegrationData Warehouse TechnologiesData Lake TechnologiesPython ProgrammingJava ProgrammingSQL ProficiencyShell ScriptingLinux/UNIX AdministrationData Security Compliance

Soft Skills

Strong Communication SkillsDocumentation Skills

Tools & Technologies

KafkaElastic StackAWSRed Hat OpenShiftKubernetesGitBitbucketJiraConfluenceKibana

Certifications & Qualifications

Security+ CertificationActive TS/SCI Security Clearance

Industry Keywords

DoD ComplianceDISA RequirementsNetwork Operations DataBig DataCloud PlatformsAgile MethodologyConfiguration ManagementMonitoringVisualizationData Quality Assurance

Tech Stack

Tools & technologies

Amazon RedshiftAWSCloudElasticSearchETLHadoopJavaJavaScriptKafkaKubernetesLinuxLogstashOpenShiftPythonReactShell 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
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 for analytics, reporting, and operational dashboards
Optimize data infrastructure for scalability, reliability, performance, and cost effectiveness
Analyze and optimize ingestion throughput, query performance, indexing, storage efficiency, and cluster utilization
Troubleshoot 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, software, integration, analytics, and network operations teams
Ensure data quality, security, and compliance with DoD and DISA requirements
Support CI/CD pipelines, version control, DevOps practices, access controls, and configuration standards
Document data architecture, integration patterns, platform configurations, operational procedures, and runbooks

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
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
Preferred qualifications include experience with DISA, DISN, DoD network environments, big data, cloud platforms, Kubernetes, configuration management, monitoring, visualization, Agile, Jira, Confluence, and relevant certifications