Hope Tech

Cloud Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Cloud Data Engineer with a 24-month contract, offering $55 - $65/hour. Key skills include Microsoft Azure Data Factory, ETL processes, and KQL. A Bachelor's degree in a related field is required, along with hands-on Azure experience.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
520
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🗓️ - Date
February 21, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Detroit, MI
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🧠 - Skills detailed
#Azure Data Factory #Databases #KQL (Kusto Query Language) #SQL Queries #Spark SQL #Microsoft Azure #Cloud #Compliance #Spark (Apache Spark) #Power Automate #Databricks #PySpark #BI (Business Intelligence) #SQL (Structured Query Language) #Storage #Model Deployment #Microsoft Power BI #SQL Server #ADF (Azure Data Factory) #Data Pipeline #Azure #ML (Machine Learning) #Deployment #Server Administration #"ETL (Extract #Transform #Load)" #Automation #Data Processing #Data Engineering #Computer Science
Role 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