Zachary Piper Solutions is seeking a TS/SCI cleared Data 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 9 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.

Qualifications:

Must have an active TS/SCI clearance Bachelor's degree in Computer Science, Mathematics, Engineering, Physics, Information Systems, or related field. 6-15 years of experience in data science, data engineering, platform engineering, software engineering, systems engineering, or any related technical discipline that has ushered experience with data migration. Experience handling structured and unstructured data across various formats. Experience with Linux OS Great to

Have Experience:

Proficiency with Python Experience with JSON or XML Experience with SQL Experience with ETL pipelines 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.

Compensation:

Pay range: $130,000 - $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. Relocation assistance provided.

Application Period:

Opens on 10/26/2026 and will be accepted for at least 30 days from the posting date. #LI-NJ1 #LI-Onsite