Maestro Technologies, Inc.
Data Engineeer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with a 6-month contract, offering a pay rate of "pay rate" at a remote location. Key skills include Microsoft Azure, SQL, Python, and 3+ years of relevant experience. Azure certifications are preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
November 7, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
St Louis, MO
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🧠 - Skills detailed
#Data Modeling #GIT #Spark (Apache Spark) #Version Control #Database Performance #Storage #"ETL (Extract #Transform #Load)" #Azure #SQL (Structured Query Language) #Visualization #Data Science #Data Governance #Data Security #Azure ADLS (Azure Data Lake Storage) #Datasets #Data Processing #Programming #Microsoft Power BI #Compliance #Synapse #Data Integration #Data Lake #Data Ingestion #BI (Business Intelligence) #Data Engineering #Python #Automation #ADF (Azure Data Factory) #Azure Data Factory #Scala #Data Analysis #Azure SQL #Data Pipeline #Data Accuracy #SQL Queries #Azure Synapse Analytics #Databricks #Cloud #Azure SQL Database #Computer Science #Security #Microsoft Azure #Data Warehouse #ADLS (Azure Data Lake Storage)
Role description
We are seeking a skilled Data Engineer with strong expertise in Microsoft Azure, Microsoft Fabric, SQL, and Python to design, build, and maintain scalable data solutions. The ideal candidate will play a key role in developing cloud-based data pipelines, optimizing data workflows, and supporting data-driven decision-making across the organization.
Key Responsibilities
• Design, develop, and maintain data pipelines and ETL processes using Azure Data Factory, Microsoft Fabric, and related Azure data services.
• Implement and manage data models, data lakes, and data warehouses in the Azure ecosystem.
• Develop Python scripts for data ingestion, transformation, and automation of data workflows.
• Optimize and tune SQL queries, stored procedures, and database performance for large-scale datasets.
• Collaborate with data analysts, data scientists, and business stakeholders to ensure data accuracy, availability, and accessibility.
• Monitor and troubleshoot data pipelines to ensure reliability and high performance.
• Enforce data governance, quality, and security best practices across all data assets.
• Stay current with emerging technologies in data engineering, cloud computing, and analytics platforms.
Required Skills & Qualifications
• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field.
• 3+ years of experience as a Data Engineer or in a similar role.
• Strong proficiency with Microsoft Azure Data Services, including:
• Azure Data Factory (ADF)
• Azure Synapse Analytics / Microsoft Fabric
• Azure Data Lake Storage (ADLS)
• Azure SQL Database
• Solid experience in Python programming for data engineering tasks.
• Expertise in SQL development, performance tuning, and database optimization.
• Understanding of data modeling, ETL design principles, and data integration frameworks.
• Experience with version control (Git) and CI/CD pipelines for data solutions.
• Familiarity with data security, compliance, and governance frameworks.
Preferred Qualifications
• Experience with Power BI integration or data visualization tools.
• Knowledge of Databricks or Spark for large-scale data processing.
• Azure certifications such as:
• Microsoft Certified: Azure Data Engineer Associate
• Microsoft Certified: Azure Solutions Architect Expert
We are seeking a skilled Data Engineer with strong expertise in Microsoft Azure, Microsoft Fabric, SQL, and Python to design, build, and maintain scalable data solutions. The ideal candidate will play a key role in developing cloud-based data pipelines, optimizing data workflows, and supporting data-driven decision-making across the organization.
Key Responsibilities
• Design, develop, and maintain data pipelines and ETL processes using Azure Data Factory, Microsoft Fabric, and related Azure data services.
• Implement and manage data models, data lakes, and data warehouses in the Azure ecosystem.
• Develop Python scripts for data ingestion, transformation, and automation of data workflows.
• Optimize and tune SQL queries, stored procedures, and database performance for large-scale datasets.
• Collaborate with data analysts, data scientists, and business stakeholders to ensure data accuracy, availability, and accessibility.
• Monitor and troubleshoot data pipelines to ensure reliability and high performance.
• Enforce data governance, quality, and security best practices across all data assets.
• Stay current with emerging technologies in data engineering, cloud computing, and analytics platforms.
Required Skills & Qualifications
• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field.
• 3+ years of experience as a Data Engineer or in a similar role.
• Strong proficiency with Microsoft Azure Data Services, including:
• Azure Data Factory (ADF)
• Azure Synapse Analytics / Microsoft Fabric
• Azure Data Lake Storage (ADLS)
• Azure SQL Database
• Solid experience in Python programming for data engineering tasks.
• Expertise in SQL development, performance tuning, and database optimization.
• Understanding of data modeling, ETL design principles, and data integration frameworks.
• Experience with version control (Git) and CI/CD pipelines for data solutions.
• Familiarity with data security, compliance, and governance frameworks.
Preferred Qualifications
• Experience with Power BI integration or data visualization tools.
• Knowledge of Databricks or Spark for large-scale data processing.
• Azure certifications such as:
• Microsoft Certified: Azure Data Engineer Associate
• Microsoft Certified: Azure Solutions Architect Expert
