Data Engineering Software Developer – Mid

The Amatriot Group

. Design, build, and maintain scalable data systems and pipelines for analytics and reporting .

Posted 9/29/2026full-timeUnited StatesMid-LevelSenior💰 $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 proficiency in data ingestion, processing, and integration using tools like Kafka and Elastic Stack. Strong understanding of data security and compliance frameworks, alongside hands-on experience with cloud technologies and CI/CD practices.

Highest-signal resume keywords

Data Pipeline DevelopmentETL/ELT ProcessesElastic Stack ProficiencyAWS Data TechnologiesSecurity+ Certification

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonJavaSQLShell ScriptingKafkaElastic StackAWS RedshiftData WarehousingData Lake TechnologiesCI/CD Pipelines

Soft Skills

Strong CommunicationDocumentation Skills

Tools & Technologies

Confluent KafkaElastic StackAWSRed Hat OpenShiftKubernetesGitBitbucketKibana

Certifications & Qualifications

Security+ CertificationActive TS/SCI Security Clearance

Industry Keywords

Data QualityData SecurityCompliance FrameworksDoD RequirementsDISA Requirements

Tech Stack

Tools & technologies

Amazon RedshiftAWSElasticSearchETLHadoopJavaJavaScriptKafkaKubernetesLinuxLogstashOpenShiftPythonReactShell ScriptingSQLTypeScriptUnix

About the role

Key responsibilities & impact

Design, build, and maintain scalable data systems and pipelines for analytics and reporting
Ingest, process, transform, validate, cleanse, unify, and integrate large and disparate data sources
Create and maintain Kafka, Elastic, and Logstash pipelines
Automate data processing and monitoring activities
Implement data solutions using Confluent Kafka, Elastic Stack, AWS, and Red Hat OpenShift/Kubernetes
Develop and manage data warehouses and data lakes
Develop data-engineering capabilities using Python, Java, SQL, shell scripting, React, JavaScript, and HTML
Support Kibana visualizations and dashboards
Optimize ingestion throughput, query performance, indexing, storage efficiency, infrastructure, and cluster performance
Troubleshoot data ingestion, processing, storage, memory, partitioning, and performance issues
Ensure data quality, security, and compliance with DoD and DISA requirements
Support CI/CD pipelines, version control, and DevOps workflows
Collaborate with analysts, visualization engineers, software developers, and stakeholders
Document data architecture, integration patterns, configurations, procedures, pipelines, platforms, and applications

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Engineering, or a related technical discipline with 4–7 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