Hiring: Data Engineer (ELK) Company: Red River Location: O'Fallon, IL Job Posted Time: 2026-09-15 13:10:35 Target Skills & Keywords : AWS, Agile, Ansible, Azure, CI/CD, Chef, Configuration Management, Confluence, Data Warehouse, Databricks, ELK Stack, ELT, ETL, Elasticsearch, Encryption, GCP, Grafana, HTML, Hadoop, Infrastructure as Code, JavaScript, Jira, Kafka, Kibana, Kubernetes, Logstash, OpenShift, Prometheus, Puppet, React, Red Hat, SAFe, Scrum, Secret Clearance, Spark About the job Experience: •5 years of experience in data engineering, data warehousing, or a related field. Required Skills: •Designs, builds, and maintains scalable, reliable data systems and pipelines to ingest, process, and transform large, complex, and disparate data sources for analytics and reporting. •Unifies and integrates data from multiple network operations systems into a consistent, accessible platform, ensuring data quality, accuracy, security, and compliance with DoD and DISA requirements. •Implement solutions using Confluent Kafka, Elastic Stack, AWS, and Red Hat OpenShift (Kubernetes), including creating Kafka, Elastic, and Logstash pipelines and supporting Kibana visualizations and dashboards with React, JavaScript, and HTML. •Develops and manage data warehouses and data lakes to support analytics, reporting, and operational dashboards, optimizing infrastructure for performance, scalability, and cost-effectiveness through automation and best practices. •Continually analyze and optimize ingestion throughput, query performance, indexing strategies, and storage efficiency across Elastic and Kafka platforms. •Automates data-related tasks such as ETL/ELT processes, data validation, cleansing, monitoring, and supports CI/CD pipelines for automated build, test, and deployment. •Collaborates with data analysts, visualization engineers, and other stakeholders to deliver integrated, actionable data solutions, and documents data architecture, integration patterns, and operational procedures. •Troubleshoots and resolves issues related to data ingestion, processing, and platform performance, storage, memory, partitioning, and cluster performance. Qualifications: •Bachelor’s degree in computer science, Information Technology, Engineering, or a related field or equivalent experience. •Minimum of 5 years of experience in data engineering, data warehousing, or a related field. •Active DoD Secret Clearance and current Security+ certification is required. •Operational familiarity with Kubernetes deployment, platform upgrades, patching, configuration management tools (Ansible, Puppet, Chef), and monitoring, alerting, and observability tools (Prometheus, Grafana, Elastic). •Strong understanding and practical experience with Agile methodologies (Scrum, SAFe), and related tools such as Atlassian JIRA and Confluence. •Certified Confluent Developer and Certified Elastic Engineer. •Excellent communication and collaboration skills, with experience working remotely with geographically dispersed teams and within a matrixed organization to combine software, integration, and data engineering practices. •Red River offers a competitive salary, excellent benefits and an exceptional work environment. You can review our benefit offerings here. If you are ready to join a growing company, please submit your resume and cover letter (optional). Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!