A Data Engineer designs, builds and manages the information or big data infrastructure. Develops the architecture that helps analyze and process data in the way the organization needs it. Makes sure those systems are performing smoothly.
Job Summary Data Operations Engineer Zachary Piper Solutions is seeking a TS/SCI cleared 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), Rabbit
MQ, 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 08/11/2026 and will be accepted for at least 30 days from the posting date. Job Description Data Operations Engineer Zachary Piper Solutions is seeking a TS/SCI cleared 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), Rabbit
MQ, 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 08/11/2026 and will be accepted for at least 30 days from the posting date.
