Data Engineer

Atlas Technologies, Inc., a rapidly expanding company supporting the U.S. Military and other Government entities, is seeking a fast-learning and self-motivated Software Data Engineer to design, build, and maintain the systems and infrastructure that collect, store, and transform data for the Department of Defense (DoD) and the Naval Information Warfare Center (NIWC). This effort is primarily centered around Data Engineering support for PMW160 Tactical Networks. You Will: Support designing and building ETL (Extract, Transform, Load) processes and pipelines to move data from disparate sources into centralized repositories Develop automated deployment pipelines and Infrastructure-as-Code templates using scripts and orchestration tools to automate repetitive data tasks, reducing manual intervention and error Design and optimize data architectures to improve performance, cost-efficiency, security, and scalability Design and implement large-scale processing systems and database architecture solutions (e.g., Data Lakes, Data Warehouses) Provide recommendations for data engineering best practices and process improvements Contribute to team objectives and support data engineering initiatives Prepare technical documentation and present architecture proposals to engineering teams Partner with other engineering groups to understand their data requirements and with leadership to align technical infrastructure with mission objectives You Have: Possession of and the ability to maintain a Department of Defense (DoD) Secret Level Security Clearance. 3-5 years' experience supporting data engineering efforts and initiatives Experience with containerization technologies (Docker, Kubernetes) is highly valued Experience with helm charts and deploying managing and scaling applications Working knowledge of Agile methodology and DevOps practices Experience with open-source, distributed event streaming platform used to collect, process, store, and analyze data feeds (Apache Kafka) Experience with data orchestration tools (Apache Nifi) Experience with open-source monitoring and observability architectures to include Grafana LGTM+ Stack and Elastic (ELK) Stack Experience with high-performance, open-source networking infrastructure tools (Nginx, Apache APISIX) Experience with open-source, distributed event streaming platform used to collect, process, store, and analyze data feeds (Apache Kafka, Debezium) Experience with data orchestration tools (Apache Nifi) Experience with open-source data storage and caching services (Postgres, Redis, MinIO) Strong documentation and communication skills to work effectively across technical teams Collaborative mindset with ability to work in fast-paced environments Self-motivated with strong problem-solving skills and attention to detail Ability to manage multiple projects and priorities simultaneously Bachelor's degree preferred or equivalent experience We'd be Impressed if You Had: Bachelor's degree in Computer Science, Engineering, or related field 5+ years' experience in data engineering roles Experience with CI/CD tools (Jenkins, GitLab CI, Azure DevOps, GitHub Actions) Proficiency with version control systems and collaborative development tools Experience with configuration management and automation platforms (Ansible, Chef, Puppet) Programming/scripting experience (Python, PowerShell, Bash, Go) Experience with data engineering design and visualization tools (Swagger) Knowledge of microservices architecture and serverless computing #J-18808-Ljbffr