Posted today
Top Secret/SCI
Mid Level Career (5+ yrs experience)
$140,000 - $170,000
Occasional travel
IT - Data Science
Honolulu, HI (On-Site/Office)
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 5 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.
• Familiarity with tools such as Docker, Podman, Kubernetes, Helm, NiFi, Kafka, Grafana, Prometheus, InfluxDB, and Power BI.
• Experience working with Windows and Linux (RedHat) operating systems.
• Strong written communication skills, including technical documentation and reporting.
• Ability to present technical briefs and lead discussions related to data issues.
• Must be able to work full‑time on‑site and support non‑standard work hours as needed.
• Ability to interface effectively with warfighters, government staff, and contractor teams.
Preferred Experience:
• Experience with intelligence and C2 data sets (ELINT, COMINT, MASINT, GEOINT).
• Knowledge of data mining, data modeling, statistics, and machine learning.
• Familiarity with Kubernetes cluster deployment and management.
Compensation:
• Pay range: $140,000 - $170,000 (Based on years of relevant experience)
Benefits:
• Comprehensive benefits package including medical, dental, vision, 401k, paid time off, federal holidays, and sick leave.
Application Period: Opens on 02/10/2025 and will be accepted for at least 30 days from the posting date.
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 5 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.
• Familiarity with tools such as Docker, Podman, Kubernetes, Helm, NiFi, Kafka, Grafana, Prometheus, InfluxDB, and Power BI.
• Experience working with Windows and Linux (RedHat) operating systems.
• Strong written communication skills, including technical documentation and reporting.
• Ability to present technical briefs and lead discussions related to data issues.
• Must be able to work full‑time on‑site and support non‑standard work hours as needed.
• Ability to interface effectively with warfighters, government staff, and contractor teams.
Preferred Experience:
• Experience with intelligence and C2 data sets (ELINT, COMINT, MASINT, GEOINT).
• Knowledge of data mining, data modeling, statistics, and machine learning.
• Familiarity with Kubernetes cluster deployment and management.
Compensation:
• Pay range: $140,000 - $170,000 (Based on years of relevant experience)
Benefits:
• Comprehensive benefits package including medical, dental, vision, 401k, paid time off, federal holidays, and sick leave.
Application Period: Opens on 02/10/2025 and will be accepted for at least 30 days from the posting date.
group id: 10430981
