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# Backend Developer

- **Company:** TEKSYSTEMS INC.
- **Location:** Fort Meade, MD, United States
- **Experience:** Experienced
- **Contract:** Temporary contract
- **Skills:** Query Performance, Java (Programming Language), Agile Methodology, Amazon Elastic Compute Cloud, Amazon S3, Confluence, JIRA, Cloud Computing Security, Information Systems, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Security, DevOps, Distributed Data Store, Distributed Systems, Document-Oriented Databases, Elasticsearch, Apache Hadoop, Identity and Access Management, Python (Programming Language), Meta-Data Management, Network Architecture, Routing, OpenShift, Logstash, Prometheus, Software Engineering, SQL Databases, Data Streaming, Computer Network Operations, Cloud Platform System, Data Ingestion, Delivery Pipeline, Grafana, Database Optimization, Apache Spark, Backend, Git, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Apache Kafka, Apache Nifi, Bitbucket, Functional Programming, Cloudwatch, Kibana, Stream Analytics, Data Pipelines, Confluent, Databricks
- **Published:** August 22, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9104686/backend-developer

## About the Role

Bachelor's degree in Computer Science, Software Engineering, Information Systems, or related technical discipline.
2+ years of professional software development or data engineering experience.
Experience with:
Elasticsearch
Logstash
Kibana
Kafka / Confluent Kafka
Experience designing and supporting ETL/ELT pipelines and distributed data architectures.
Proficiency with:
Python
Java
SQL
Experience with AWS services such as EC2, S3, Lambda, Kinesis, IAM, and CloudWatch.
Experience with Kubernetes or OpenShift environments.
Knowledge of CI/CD pipelines and DevOps best practices.
Experience using Git, Bitbucket, Jira, and Confluence.
Understanding of data governance, metadata management, and data quality practices.
Strong communication and collaboration skills., Experience supporting DISA, DISN, or other DoD environments.
Familiarity with RMF, STIGs, and DoD cybersecurity requirements.
Experience with:
Spark
Hadoop
NiFi
Databricks
Prometheus
Grafana
Experience with AWS GovCloud or other secure cloud environments.
Knowledge of infrastructure-as-code and configuration management tools.
Experience developing observability, monitoring, or real-time analytics solutions.
Familiarity with network infrastructure, routing, switching, and secure data exchange protocols.
Confluent Developer or Elastic Engineer certifications.

This position requires an active DoD Clearance (Secret, Top Secret, Top Secret/SCI) or the ability to be obtain an (Interim Secret, Interim Top Secret)
Because an active or interim DoD clearance is required, U.S. Citizenship is required

## Description

We are seeking a Back-End Software Developer with expertise in Elastic Stack (ELK), Kafka, and modern data engineering practices to support a mission-critical Department of Defense modernization effort. The ideal candidate will have experience designing and maintaining large-scale data pipelines, streaming architectures, and cloud-native platforms while working in a fast-paced Agile environment.

What You'll Do
Design, build, and maintain scalable data ingestion, processing, and transformation pipelines.
Develop and support enterprise data integration solutions using Confluent Kafka and the Elastic Stack.
Create and manage ETL/ELT workflows to support analytics, reporting, and operational dashboards.
Integrate data from multiple network operations systems into centralized platforms.
Optimize Kafka and Elasticsearch performance, including indexing strategies, query performance, storage efficiency, and throughput.
Support CI/CD pipelines and infrastructure automation initiatives.
Deploy and manage workloads within OpenShift and Kubernetes environments.
Collaborate with data analysts, visualization engineers, software developers, and stakeholders to build integrated solutions.
Document data architectures, integration patterns, technical designs, and operational procedures.
Troubleshoot complex issues related to data ingestion, platform performance, and distributed systems.


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