Zachary Piper Solutions is seeking a TS/SCI cleared
Tactical Data Operations Engineer to support the United States Air Force's Joint Fires Network program in Honolulu, 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.
Period of Performance (Contract Length):- 5 years.
- Program has been awarded and is live.
- Currently in month 7 out of 5 years.
Location and Work Environment:- Full-time on-site role in a site near Ft. Shafter/Camp Smith area in Honolulu, Hawaii, supporting operational data pipelines and mission systems.
- 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.
- 5-15 years of experience in data engineering or related experience
- At least 1+ years of experience with real-time data streaming
- 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: $150,000 - $220,000 (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 09/21/2026 and will be accepted for at least 30 days from the posting date. #LI-NJ1
#LI-Onsite
