Cloud Data Engineer - Detroit

Only for registered members Detroit, United States

1 day ago

Default job background
Freelance $55 - $65 (USD)
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 ...
Job description

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 backgroundTechnical 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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