Data Operations Engineer (Top Secret - TS/SCI) with Security Clearance

Zachary Piper Solutions is seeking a TS/SCI cleared Data Operations Engineer to support a defense customer in Pearl Harbor, Hawaii. This full-time, on-site role focuses on managing real-time data ingest operations, monitoring data quality, and supporting the delivery of mission-critical data feeds. The ideal candidate will have strong experience in data engineering, scripting, data visualization, and operational support within technical environments. Location and Work Environment: * Full-time on-site role in Pearl Harbor, Hawaii, supporting operational data pipelines and mission systems. Travel up to 15% may be required, including long-distance trips to additional government or contractor facilities. Responsibilities: * Support continuous data ingest operations, monitoring data feeds, pipeline health, and overall data quality. * Visualize and interpret data findings through dynamic reports and dashboards for leadership and users. * Use data manipulation and visualization tools to communicate real-time and historical trends. * Collaborate with platform, software, and data engineering teams to reconfigure pipelines for improved reliability. * Work with data in multiple formats including Excel, CSV, JSON, and XML. * Support incident management processes including issue documentation, resolution, and root-cause analysis for recurring data outages. * Develop and maintain software to automate monitoring of real-time data feeds, including alerts for timeliness, lineage, volume, and distribution issues. * Leverage historical pipeline data to identify improvements in ingest performance and reliability. * Assist with designing, developing, testing, and implementing web-based collaboration and reporting tools. * Demonstrate proficiency in Python or Bash scripting for analytics, automation, and data operations. * Utilize open-source analytics and visualization tools to monitor system performance. Qualifications: * Must have an active TS/SCI clearance * Bachelor's degree in Computer Science, Mathematics, Engineering, Physics, Information Systems, or related field. * Minimum 3 -10 years of experience in data analysis or data engineering roles. * Strong experience handling structured and unstructured data across various formats. * Proficiency with Python (primary), Bash, or similar scripting languages. * Experience with NiFi. * Experience working with Windows and Linux (RedHat) operating systems. * Familiarity with tools such as Kafka, Grafana, Prometheus, InfluxDB, and Power BI. * Familiarity with XML and JSON. Preferred Experience: * Experience with intelligence and C2 data sets (ELINT, COMINT, MASINT, GEOINT). * Knowledge of data streaming. * Familiarity with Kubernetes cluster deployment and management.

Compensation: * Pay range: $160,000 - $210,000 (Based on years of relevant experience) Benefits: * Comprehensive benefits package including medical, dental, vision, 401k, 20 days of paid time off, 11 federal holidays, sick leave, and relocation bonus.