Tactical Data Engineer (Top Secret - TS/SCI)

Zachary Piper Solutions is seeking a TS/SCI cleared Tactical Data 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.

• 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 any of the following streaming tools: 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.
• Familiarity with XML and JSON.

Preferred Experience:

• Experience with intelligence and C2 data sets (ELINT, COMINT, MASINT, GEOINT).
• Knowledge of data streaming.

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