Senior Data Engineer - AI & Data Pipelines Lead

Bluehawk LLC, Intelligence Services

Hawaii

On-site

USD 100,000 - 130,000

Full time

14 days+
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Job summary

A leading defense contractor is seeking a Senior Data Engineer to provide advanced data architecture, engineering, and analytics support. This role involves designing and optimizing data pipelines, building predictive analytics, and enhancing mission performance through automated solutions. Candidates should have substantial experience in data engineering, AI/ML, and strong communication skills in technical contexts. This position is full-time, mid-senior level, and offers significant opportunities for contribution in the intelligence sector.

Qualifications

  • Advanced experience in data engineering, AI/ML development, predictive analytics, data mining, and statistical analysis.
  • Proficiency in data-science languages and tools (Python, R, SQL, Power BI, Tableau).
  • Strong background in integrating, conditioning, and merging large and disparate datasets.
  • Ability to communicate complex technical findings to technical and non-technical audiences.

Responsibilities

  • Conduct data analytics, engineering, mining, and predictive modeling to support intelligence missions.
  • Build and implement AI/ML tools to automate and enhance analytic workflows.
  • Design and build web-based prototypes and dashboards to support Intelligence Mission Management functions.
  • Collaborate with collection managers to build new data processes and automate strategies.

Skills

Data engineering
AI/ML development
Predictive analytics
Data mining
Statistical analysis
Python
R
SQL
Power BI
Tableau

Tools

SQL databases
NoSQL databases
ETL pipelines
HPC environments

Job description

A leading defense contractor is seeking a Senior Data Engineer to provide advanced data architecture, engineering, and analytics support. This role involves designing and optimizing data pipelines, building predictive analytics, and enhancing mission performance through automated solutions. Candidates should have substantial experience in data engineering, AI/ML, and strong communication skills in technical contexts. This position is full-time, mid-senior level, and offers significant opportunities for contribution in the intelligence sector.
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