

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
-
💰 - Day rate
520
-
🗓️ - Date
February 21, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Detroit, MI
-
🧠 - 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
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





