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Data Integration Engineer

Job in Fort Meade, Anne Arundel County, Maryland, USA
Listing for: Novul Solutions
Full Time position
Listed on 2026-08-05
Job specializations:
  • IT/Tech
    Data Engineering, Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 90000 - 110000 USD Yearly USD 90000.00 110000.00 YEAR
Job Description & How to Apply Below

Fort George G Meade, United States | Posted on 05/07/2026

  • IAT/IAM Requirement Security+ CE or other DoD 8570 IAT Level II certification
Job Description

Position Summary

We are seeking a Data Integration Engineer to support data engineering, system integration, and analytics efforts for DISN network topology and operational data. This role focuses on building and maintaining data pipelines, integrating distributed data sources, supporting Kafka and Elastic platform workflows, and enabling advanced data correlation and visualization.

The ideal candidate will have experience in software or data engineering, ETL pipeline development, Kafka or Elastic integrations, Kibana dashboarding, and Agile team collaboration. This position supports a DoD mission environment and requires strong technical documentation, communication, and security compliance awareness.

Primary Responsibilities:

  • Support the integration, enrichment, and correlation of DISN network topology data for advanced analytics and operational insight.
  • Develop, test, and deploy data pipelines and integration solutions across distributed systems and cloud environments.
  • Gather requirements and collaborate with stakeholders to design data enrichment pipelines.
  • Integrate diverse data sources into Confluent Kafka and Elastic platforms.
  • Develop and maintain Kibana visualizations, dashboards, and analytics views.
  • Support Kafka integrations between Elasticsearch, Logstash, and other systems.
  • Participate in technical discussions with internal teams, external stakeholders, and mission partners.
  • Work within Agile/Scrum teams to support sprint deliverables, peer collaboration, and project objectives.
  • Communicate effectively with geographically distributed team members.
  • Troubleshoot installation, infrastructure, integration, and system issues.
  • Identify, report, and help mitigate technical risks.
  • Develop and maintain technical documentation, including DoD requirements, interface documents, security artifacts, and system engineering documentation.
  • Ensure solutions align with DoD security standards, guidelines, and platform sustainment requirements.
  • Support operational reliability by helping resolve platform and integration challenges.
Requirements

Basic Qualifications:

  • Bachelor’s degree with 4–8 years of related experience, or master’s degree with 2–6 years; equivalent experience may be considered.
  • 4+ years of experience in software engineering, data engineering, business analysis, or data analysis.
  • Experience with Agile/Scrum teams and tools such as JIRA and Confluence.
  • Experience with Git, Bitbucket, or similar version control tools.
  • Experience with data analytics and visualization tools such as Kibana, Power BI, Tableau, or ELK.
  • Experience designing, developing, and optimizing ETL processes, data pipelines, and data integrations.
  • Experience with Kafka, Elastic, Elasticsearch, Logstash, or similar integration platforms.
  • Background in data modeling, data enrichment, data unification, or analytics.
  • Understanding of networking concepts, internet protocols, and network‑centric environments.
  • Experience developing and deploying software on UNIX/Linux command line platforms.
  • Strong communication, coordination, and cross‑functional collaboration skills.

Preferred Qualifications:

  • Experience with CI/CD, Dev Ops, automated delivery, and containerized deployment pipelines.
  • Experience with Kafka, Elastic, Spark, NiFi, ksqlDB, or Kafka Streams.
  • Hands‑on experience with Kafka connectors and Kafka integrations with Elasticsearch/Logstash.
  • Experience designing streaming data applications and real‑time data processing solutions.
  • Experience with Docker, Kubernetes, AWS, or Gov Cloud environments.
  • Experience configuring cloud infrastructure, networking, and security policies.
  • Experience with full software lifecycle automation, including design, testing, deployment, and production release.
  • Experience building automated testing pipelines using Ansible, Selenium, JMeter, JUnit, or similar tools.
  • Experience developing software in DoD or DISA environments.
  • Familiarity with DoD security standards, STIGs, and security compliance requirements.
  • Ability to support DoD requirements, traceability matrices, project plans,…
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