Data Engineering Software Developer – SME

The Amatriot Group

. Design, build, integrate, and maintain scalable data systems and pipelines .

Posted 9/29/2026full-timeUnited StatesSeniorLead💰 $235,000 - $265,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and maintaining scalable data systems and pipelines, with a strong focus on data quality, security, and compliance. Proficient in utilizing tools such as Kafka, Elastic Stack, and AWS for data integration and visualization.

Highest-signal resume keywords

Active TS/SCI Security ClearanceCurrent Security+ CertificationETL/ELT Data Pipeline DevelopmentElastic Stack and Kafka ExperienceCI/CD and DevOps Practices

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data Pipeline DevelopmentData Warehouse ManagementData Lake ImplementationPython ProgrammingJava ProgrammingSQL ProficiencyShell ScriptingLinux/UNIX AdministrationData Quality AssuranceData Security Compliance

Soft Skills

CollaborationDocumentation

Tools & Technologies

KafkaElastic StackAWSRed Hat OpenShiftKubernetesGitBitbucketKibanaLogstashHadoop

Certifications & Qualifications

Security+ CertificationTS/SCI Security Clearance

Industry Keywords

DoD ComplianceDISA RequirementsRMFSTIGNetwork Operations Data

Tech Stack

Tools & technologies

Amazon RedshiftAWSElasticSearchETLHadoopJavaJavaScriptKafkaKubernetesLinuxLogstashOpenShiftPythonReactShell ScriptingSQLTypeScriptUnix

About the role

Key responsibilities & impact

Design, build, integrate, and maintain scalable data systems and pipelines
Ingest, process, transform, validate, cleanse, and monitor complex data sources
Integrate data from multiple network operations systems
Create and maintain Kafka, Elastic, and Logstash pipelines
Implement solutions using Confluent Kafka, Elastic Stack, AWS, and Red Hat OpenShift/Kubernetes
Develop and manage data warehouses and data lakes
Support Kibana visualizations and dashboards using React, JavaScript, and HTML
Optimize ingestion throughput, query performance, indexing, storage efficiency, 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 build, test, and deployment activities
Apply version control and DevOps practices
Collaborate with analysts, visualization engineers, software developers, and other stakeholders
Document data architecture, integration patterns, platform configurations, procedures, and runbooks

Requirements

What you’ll need

Active TS/SCI security clearance
Current Security+ certification or higher/equivalent certification
Bachelor’s degree in Computer Science, Engineering, or related technical discipline with 12+ years of relevant experience, or Master’s degree in the same fields with 10+ years of relevant experience
Hands-on experience designing, building, and maintaining ETL/ELT data pipelines and integrating disparate data sources
Experience with data warehouses/data lakes such as AWS Redshift, Amazon S3, Hadoop, Snowflake, or similar
Experience with Elastic Stack, Elasticsearch, Logstash, Kibana, and/or Kafka
Experience with Linux/UNIX system administration and automation
Experience with CI/CD pipelines, containerized pipelines, Git/Bitbucket, version control, and DevOps practices
Familiarity with network operations data, including logs, metrics, events, ticketing, and CMDB data
Proficiency with Python, Java, SQL, and shell scripting
Knowledge of data security, access controls, and DoD, DISA, RMF, and STIG requirements
Willingness and ability to complete and maintain additional customer suitability screenings
Ability to work 100% onsite in Washington, DC