Bachelor's degree in Computer Science, Mathematics, Engineering, Physics, Information Systems, or related field
5-15 years of experience in data engineering or related fields
1+ years of experience with real-time data streaming
Strong experience with structured and unstructured data formats
Proficiency in Python
Experience with JSON or XML
Familiarity with data streaming tools like Apache Kafka, AWS Kinesis, or Google Cloud Data Stream
Experience with Linux OS
Responsibilities
Support continuous data ingest operations and monitor data quality
Visualize data findings through reports and dashboards for stakeholders
Use data manipulation tools to communicate trends
Collaborate with engineering teams to enhance pipeline reliability
Work with various data formats including Excel, CSV, JSON, and XML
Manage incident processes including documentation and root-cause analysis
Develop software to automate monitoring of data feeds and alert systems
Leverage historical data to improve ingest performance
Assist in designing and implementing web-based reporting tools
Demonstrate scripting proficiency for analytics and automation
Benefits
Comprehensive benefits package including medical, dental, and vision
401k plan
20 days of paid time off plus 11 federal holidays
Sick leave included
Relocation assistance provided
Full Job Description
Zachary Piper Solutions is seeking a TS/SCI cleared Tactical 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.
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.
Exposure or experience with Palantir technologies.
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.
Relocation assistance provided.
Application Period: Opens on 10/19/2026 and will be accepted for at least 30 days from the posting date.
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About Piper Companies
Piper Companies is a staffing and recruiting firm based in Conshohocken, Pennsylvania. It provides staffing solutions for a variety of industries, including technology, healthcare, and finance. The company was founded in 2011 and has since grown to become a leading provider of staffing services in the Philadelphia area. Piper Companies is committed to providing high-quality service to its clients and candidates, and has a strong focus on building long-term relationships. The company is also known for its corporate social responsibility initiatives, including support for local charities and community organizations.
