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

apartmentZachary Piper Solutions, LLC placeHonolulu calendar_month 

Zachary Piper Solutions is seeking a TS/SCI cleared Data Streaming 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.
  • Position operates in a low supervision independent capacity, working with cross-domain groups across the nation.
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
  • Experience with JSON or XML
  • Experience with any of the following data streaming tools such as:
  • Apache (Kafka, Pulsar, Flink, Storm, Samza, Spark, Beam, Redpanda, or NiFi), Confluent Platform, StreamNative Platform, Cloudera Streaming, AWS Kinesis Data Streams/Firehose, AWS MSK, Google Cloud Data Stream, Google Dataflow (stream mode), RabbitMQ, NATS Jetstream, ZeroMQ.
  • Experience with Linux OS 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: $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, and sick leave.
Application Period: Opens on 04/20/2026 and will be accepted for at least 30 days from the posting date.

#LI-NJ1 #LI-Onsite

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