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, ETL/ELT pipelines, and data warehousing solutions while ensuring data quality, security, and compliance with DoD standards. Proficient in utilizing tools such as AWS, Elastic Stack, and Confluent Kafka for data processing and analytics.

Highest-signal resume keywords

ETL/ELT Pipeline DevelopmentData Warehouse TechnologiesElastic Stack ProficiencyCI/CD Pipeline SupportData Security Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonJavaSQLShell ScriptingData Pipeline DevelopmentData IngestionData TransformationData Quality AssurancePerformance OptimizationData Architecture

Soft Skills

CollaborationProblem-SolvingDocumentation

Tools & Technologies

AWSConfluent KafkaElastic StackRed Hat OpenShiftKubernetesGitBitbucketJiraConfluenceHadoop

Certifications & Qualifications

Security+ CertificationActive TS/SCI Security Clearance

Industry Keywords

DoD ComplianceDISA RequirementsNetwork OperationsBig DataCloud ComputingAgile MethodologyConfiguration ManagementMonitoringVisualizationAccess Controls

Tech Stack

Tools & technologies

Amazon RedshiftAWSCloudElasticSearchETLHadoopJavaJavaScriptKafkaKubernetesLinuxLogstashOpenShiftPythonReactShell 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, and unify large and disparate data sources.
Develop and maintain ETL/ELT, Kafka, Elastic, and Logstash pipelines.
Automate data-related 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, operational dashboards, Kibana visualizations, and dashboards.
Develop data-engineering capabilities using Python, Java, SQL, shell scripting, React, JavaScript, and HTML.
Analyze and optimize ingestion throughput, query performance, indexing, storage efficiency, infrastructure performance, scalability, reliability, and cost effectiveness.
Troubleshoot data ingestion, processing, storage, memory utilization, partitioning, cluster performance, and downstream analytics issues.
Ensure data quality, security, access control, and compliance with DoD and DISA requirements.
Support CI/CD pipelines, automated build/test/deployment, version control, and DevOps workflows.
Collaborate with analysts, visualization engineers, software developers, network operations teams, and stakeholders.
Document data architecture, integration patterns, configurations, operational procedures, platforms, pipelines, 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.
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, or other DoD network environments; DoD security standards and STIGs; network security, encryption, and access controls; big data, cloud, Kubernetes, configuration management, monitoring, visualization, Agile, Jira, Confluence, and relevant certifications.