Cloud Data Engineer

Supplied Talent • Detroit, MI

2h • $55 - $65 • Hybrid

About The Position

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.

Requirements

• 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 Haves

• Databricks experience (PySpark, SQL) for large-scale data processing
• SQL Server administration experience
• Machine learning model deployment and feature engineering background

Responsibilities

• 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 This Job Offers

• Job Type: Full-time
• Career Level: Mid Level