Cloud Data Engineer
Pay: $55 - $65/hour + Benefits
Contract: 24 months, Full-Time
Schedule: Monday - Friday, 40 hours/week
Why Join Us?
Join a data-driven organization where your work directly impacts enterprise analytics and
business intelligence. You'll build and optimize data pipelines that power critical business
decisions, working with cutting-edge Azure technologies in a collaborative hybrid environment.
This is an opportunity to take ownership of impactful projects while growing your expertise in
cloud data engineering.
What You'll Do
• Build automated data pipelines using Microsoft Azure Data Factory (ADF) and Azure
Data Explorer (ADX) to support process improvement and operational metrics
• Develop ETL processes ensuring optimal data flow, transformation, and storage across
enterprise systems
• Create Power BI dashboards and reports that deliver actionable insights on
compliance rates, efficiency, and key performance metrics
• Optimize data retrieval and processing through performance tuning for downstream
analytics and machine learning
• Perform ad hoc analysis gathering requirements, making recommendations, and
executing follow-through activities
• Build automation solutions using Power Apps and Power Automate to reduce manual
processes
What You'll Bring
Required:
• Bachelor's degree in Computer Science, Information Systems, Software Engineering, or
related field
• Hands-on experience with Microsoft Azure Data Factory (ADF) and Azure Data Explorer
(ADX)
• Proficiency in ETL processes and KQL (Kusto Query Language)
• Experience writing and executing SQL queries in relational databases
• Ability to work independently, analyze complex issues, and recommend solutions
Nice to Have:
• Databricks experience (PySpark, SQL) for large-scale data processing
• SQL Server administration experience
• Machine learning model deployment and feature engineering background Technical Stack
Azure Data Factory • Azure Data Explorer • KQL • SQL • Power BI • Power Apps • Power
Automate • Databricks (preferred)
Work Environment
• Hybrid schedule with a mix of on-site (Allen Road Center, Detroit) and remote work
• Standard business hours: Monday - Friday
• No travel required
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