Sr. Data Engineer (Aviation Industry)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. Data Engineer in the aviation industry, with a contract lasting over 6 months, offering $60-70/hr. Key skills include ETL, data pipeline architecture, and Python scripting, focusing on analytics and systems integration.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
560
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🗓️ - Date discovered
September 5, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Data Pipeline #Data Engineering #Python #Scripting #Agile #"ETL (Extract #Transform #Load)" #AI (Artificial Intelligence)
Role description
Insight Global is seeking a Data Engineer focused on Analytics and ETL Systems Integration to support a rapid proof-of-concept initiative running through the end of the year. This role centers on building the analytics and processing layer that connects various systems across the manufacturing environment. You will design and implement ETL pipelines to transform and integrate data from engineering, quality, and production systems, ensuring real-time insights and traceability. The goal is to feed AI models with actionable data that enables rapid iteration—building parts, running quality checks, understanding results, and refining models for re-manufacturing. You’ll work closely with another data engineer in an agile methodology. Experience with enterprise system integration, data pipeline architecture, and scripting in Python or Glu is highly valued.
$60-70/hr based off of experience
Insight Global is seeking a Data Engineer focused on Analytics and ETL Systems Integration to support a rapid proof-of-concept initiative running through the end of the year. This role centers on building the analytics and processing layer that connects various systems across the manufacturing environment. You will design and implement ETL pipelines to transform and integrate data from engineering, quality, and production systems, ensuring real-time insights and traceability. The goal is to feed AI models with actionable data that enables rapid iteration—building parts, running quality checks, understanding results, and refining models for re-manufacturing. You’ll work closely with another data engineer in an agile methodology. Experience with enterprise system integration, data pipeline architecture, and scripting in Python or Glu is highly valued.
$60-70/hr based off of experience
