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Mining Data Analytics Jobs in Hawaii (NOW HIRING)

KBR

Data Engineer

Honolulu, HI · On-site

$113K - $135K/yr

Experience should demonstrate competency in key concepts from software engineering, computer programming, statistical analysis, data mining algorithms, machine learning, and modeling sufficient to ...

KBR, Inc.

Data Engineer

Honolulu, HI · On-site

$113K - $135K/yr

Experience should demonstrate competency in key concepts from software engineering, computer programming, statistical analysis, data mining algorithms, machine learning, and modeling sufficient to ...

KBR

Data Engineer with Security Clearance

Honolulu, HI · On-site

$113K - $135K/yr

Experience should demonstrate competency in key concepts from software engineering, computer programming, statistical analysis, data mining algorithms, machine learning, and modeling sufficient to ...

Bluehawk, LLC

Data Scientist - Jr.

Pearl City, HI · On-site

$80 - $100/hr

Perform complex statistical analysis, modeling, and data mining to extract actionable insights from diverse intelligence datasets. * Design, develop, and implement advanced data visualizations to ...

Bluehawk, LLC

Data Scientist - Mid-Level

Pearl City, HI · On-site

$80 - $120/hr

Perform complex statistical analysis, modeling, and data mining to extract actionable insights from diverse intelligence datasets. * Design, develop, and implement advanced data visualizations to ...

Bluehawk, LLC

Data Scientist - Sr.

Pearl City, HI · On-site

$90 - $130/hr

Perform complex statistical analysis, modeling, and data mining to extract actionable insights from diverse intelligence datasets. * Design, develop, and implement advanced data visualizations to ...

Servco

Data Engineer II

Honolulu, HI · On-site

$113K - $135K/yr

Data Engineers will partner closely with Analytics Engineers, who focus on downstream activities ... Process Mining & Stakeholder Collaboration * Experience with process mining and collaborating with ...

Bah

University - Data Scientist

Honolulu, HI

$62K - $141K/yr

Experience with data exploration, data cleaning, data analysis, data visualization, or data mining * Experience with statistical and general-purpose programming languages for data analysis

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Mining Data Analytics information

What is the difference between Mining Data Analytics vs Data Analyst?

AspectMining Data AnalyticsData Analyst
Required CredentialsBachelor's in Data Science, Mining Engineering, or related fields; certifications in data analytics or mining softwareBachelor's in Statistics, Data Science, or related fields; certifications in data analysis tools
Work EnvironmentMining sites, data centers, or corporate offices; focus on mineral extraction dataOffice settings, corporate or consulting firms; focus on business data
Employer & Industry UsageMining companies, resource extraction industriesVarious industries including finance, healthcare, retail

Mining Data Analytics and Data Analysts both analyze data, but Mining Data Analytics specializes in mineral extraction data within the mining industry, often requiring industry-specific knowledge and certifications. Data Analysts have a broader scope across multiple industries, focusing on business insights. While both roles involve data interpretation, their environments and applications differ significantly.

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Infographic showing various Mining Data Analytics job openings in Hawaii as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Data Operations Engineer (TS/SCI)

Zachary Piper Solutions

Honolulu, HI • On-site

$150 - $220/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago

Job description

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), 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

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.

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