

Lumen Resources
Sr. Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. Data Engineer, offering an 8-12 month remote contract with a pay rate of "unknown." Key requirements include 7+ years of data engineering experience, expert Python, strong SQL skills, and proficiency in Microsoft Azure and Apache Airflow.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
February 10, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Remote
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#AI (Artificial Intelligence) #SQL (Structured Query Language) #Synapse #Data Pipeline #Python #Data Processing #Data Engineering #Database Design #Airflow #Microsoft Azure #ADF (Azure Data Factory) #Azure Data Factory #"ETL (Extract #Transform #Load)" #ML (Machine Learning) #Semantic Models #Data Quality #Cloud #Azure cloud #Data Modeling #Apache Airflow #Microsoft Power BI #Programming #Azure #Data Orchestration #Scala #BI (Business Intelligence)
Role description
Location: Remote
Duration: 8-12 months (with potential for extension)
About the Opportunity
We're seeking a Senior Data Engineer to join a dynamic team working on cutting-edge predictive analytics and AI/ML-driven data solutions. This role offers the opportunity to work with the latest Microsoft technologies, including Microsoft Fabric, while contributing to high-impact data pipeline development.
This is a fast-paced, collaborative environment where you'll work alongside passionate engineers delivering next-generation analytics solutions.
What You'll Do
• Design, build, and optimize scalable data pipelines for AI/ML workloads
• Develop and maintain data models to support advanced analytics
• Work with Microsoft Fabric (Lake House, Semantic Models, Materialized Lake Views)
• Implement data orchestration and scheduling workflows using Apache Airflow
• Collaborate with cross-functional teams to ensure data quality and pipeline reliability
• Leverage Azure cloud services for data processing and transformation
• Build and maintain Power BI integration for analytics reporting
Required Skills & Experience:
• 7+ years of hands-on data engineering experience
• Expert-level Python programming skills
• Strong SQL proficiency
• Proven experience with Microsoft Azure (Azure Data Factory, Azure Synapse, or similar)
• Deep understanding of data pipelines and ETL/ELT processes
• Experience with data modeling and database design
• Hands-on experience with scheduling and orchestration tools (Apache Airflow strongly preferred)
• Ability to work 9am-6pm EST (if remote outside Eastern time zone)
Location: Remote
Duration: 8-12 months (with potential for extension)
About the Opportunity
We're seeking a Senior Data Engineer to join a dynamic team working on cutting-edge predictive analytics and AI/ML-driven data solutions. This role offers the opportunity to work with the latest Microsoft technologies, including Microsoft Fabric, while contributing to high-impact data pipeline development.
This is a fast-paced, collaborative environment where you'll work alongside passionate engineers delivering next-generation analytics solutions.
What You'll Do
• Design, build, and optimize scalable data pipelines for AI/ML workloads
• Develop and maintain data models to support advanced analytics
• Work with Microsoft Fabric (Lake House, Semantic Models, Materialized Lake Views)
• Implement data orchestration and scheduling workflows using Apache Airflow
• Collaborate with cross-functional teams to ensure data quality and pipeline reliability
• Leverage Azure cloud services for data processing and transformation
• Build and maintain Power BI integration for analytics reporting
Required Skills & Experience:
• 7+ years of hands-on data engineering experience
• Expert-level Python programming skills
• Strong SQL proficiency
• Proven experience with Microsoft Azure (Azure Data Factory, Azure Synapse, or similar)
• Deep understanding of data pipelines and ETL/ELT processes
• Experience with data modeling and database design
• Hands-on experience with scheduling and orchestration tools (Apache Airflow strongly preferred)
• Ability to work 9am-6pm EST (if remote outside Eastern time zone)






