

PeopleCaddie
Database Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Database Engineer on a 7+ month contract, paying up to $50/hour. Required skills include 3+ years in OLTP systems, Azure SQL, Cosmos DB, Data Factory, and Databricks. Remote work; U.S. citizens/Green Card holders only.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
400
-
🗓️ - Date
October 11, 2025
🕒 - Duration
More than 6 months
-
🏝️ - Location
Remote
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Data Storage #Microsoft Azure #BI (Business Intelligence) #Database Design #Terraform #Big Data #Cloud #Database Architecture #Data Engineering #Azure SQL Database #DevOps #Azure Databricks #Azure #Documentation #Data Architecture #Azure Synapse Analytics #Data Integration #Storage #Data Access #Azure Data Factory #Data Warehouse #Security #Databricks #Data Backup #Scala #Spark (Apache Spark) #ADF (Azure Data Factory) #Compliance #Microsoft Power BI #Data Lake #Synapse #Redis #Data Pipeline #SQL (Structured Query Language) #Azure SQL #"ETL (Extract #Transform #Load)" #Databases #Azure Cosmos DB #Data Science #Data Governance
Role description
Job Title: Azure Database Engineer (Contract)
Company: Big Four Client
Location: Remote
Work Authorization: U.S. Citizens and Green Card Holders
Pay Rate: Max of $50 per hour (W2)
Duration: 7+ Months
Overview:
We are seeking an experienced Azure Database Engineer for a 7+ month contract engagement. The ideal candidate will have a strong background in designing, implementing, and optimizing cloud-based data solutions within Microsoft Azure. This role involves hands-on work with OLTP systems, distributed databases, and Azure data services to support business-critical applications and analytics workloads.
You will collaborate with cross-functional teams to design scalable data architectures, ensure performance optimization, and maintain secure, reliable database environments in the Azure ecosystem.
Key Responsibilities:
Database Architecture & Design
• Design and support highly scalable OLTP systems for mission-critical applications.
• Develop robust data models and implement effective data storage and retrieval strategies.
• Ensure database solutions align with performance, scalability, and security requirements.
Azure Data Engineering
• Implement and optimize Azure SQL databases for transactional and analytical workloads.
• Architect and maintain Azure Cosmos DB solutions, focusing on performance, scalability, and partitioning.
• Build and manage data integration pipelines using Azure Data Factory, ensuring reliable ETL/ELT workflows.
• Leverage Azure Databricks for big data analytics, Spark-based processing, and collaborative data development.
Performance Optimization & Support
• Conduct performance tuning, query optimization, and capacity planning across Azure database platforms.
• Monitor system health, identify bottlenecks, and proactively implement improvements.
• Troubleshoot and resolve database-related issues to maintain high availability and reliability.
Data Governance & Security
• Implement security best practices for data access, encryption, and compliance within Azure environments.
• Ensure proper data backup, recovery, and retention policies are in place.
Collaboration & Documentation
• Work closely with software engineers, data scientists, and DevOps teams to integrate data solutions into broader systems.
• Maintain clear technical documentation for data architectures, configurations, and procedures.
Required Skills & Qualifications:
• 3+ Years Experience with OLTP Systems: Proven experience designing and supporting highly scalable OLTP architectures.
• 3+ Years Experience with Azure Cosmos DB: Expertise in modeling, scaling, and optimizing distributed databases.
• 3+ Years Experience with Azure SQL: Strong knowledge of relational database design, performance tuning, and security in Azure SQL environments.
• 3+ Years Experience with Azure Data Factory: Hands-on experience with data integration workflows, data pipelines, and ETL/ELT processes.
• 3+ Years Experience with Azure Databricks: Practical experience with big data analytics, Spark-based processing, and collaborative development environments.
• 3+ Years Experience with Redis: Familiarity with in-memory data structures and high-throughput caching solutions.
Preferred Skills & Qualifications:
• Experience with data lake architectures and modern data warehouse solutions.
• Familiarity with CI/CD pipelines and infrastructure-as-code (e.g., Terraform, ARM templates).
• Knowledge of Power BI, Azure Synapse Analytics, or other reporting tools.
• Strong analytical, problem-solving, and communication skills.
Job Title: Azure Database Engineer (Contract)
Company: Big Four Client
Location: Remote
Work Authorization: U.S. Citizens and Green Card Holders
Pay Rate: Max of $50 per hour (W2)
Duration: 7+ Months
Overview:
We are seeking an experienced Azure Database Engineer for a 7+ month contract engagement. The ideal candidate will have a strong background in designing, implementing, and optimizing cloud-based data solutions within Microsoft Azure. This role involves hands-on work with OLTP systems, distributed databases, and Azure data services to support business-critical applications and analytics workloads.
You will collaborate with cross-functional teams to design scalable data architectures, ensure performance optimization, and maintain secure, reliable database environments in the Azure ecosystem.
Key Responsibilities:
Database Architecture & Design
• Design and support highly scalable OLTP systems for mission-critical applications.
• Develop robust data models and implement effective data storage and retrieval strategies.
• Ensure database solutions align with performance, scalability, and security requirements.
Azure Data Engineering
• Implement and optimize Azure SQL databases for transactional and analytical workloads.
• Architect and maintain Azure Cosmos DB solutions, focusing on performance, scalability, and partitioning.
• Build and manage data integration pipelines using Azure Data Factory, ensuring reliable ETL/ELT workflows.
• Leverage Azure Databricks for big data analytics, Spark-based processing, and collaborative data development.
Performance Optimization & Support
• Conduct performance tuning, query optimization, and capacity planning across Azure database platforms.
• Monitor system health, identify bottlenecks, and proactively implement improvements.
• Troubleshoot and resolve database-related issues to maintain high availability and reliability.
Data Governance & Security
• Implement security best practices for data access, encryption, and compliance within Azure environments.
• Ensure proper data backup, recovery, and retention policies are in place.
Collaboration & Documentation
• Work closely with software engineers, data scientists, and DevOps teams to integrate data solutions into broader systems.
• Maintain clear technical documentation for data architectures, configurations, and procedures.
Required Skills & Qualifications:
• 3+ Years Experience with OLTP Systems: Proven experience designing and supporting highly scalable OLTP architectures.
• 3+ Years Experience with Azure Cosmos DB: Expertise in modeling, scaling, and optimizing distributed databases.
• 3+ Years Experience with Azure SQL: Strong knowledge of relational database design, performance tuning, and security in Azure SQL environments.
• 3+ Years Experience with Azure Data Factory: Hands-on experience with data integration workflows, data pipelines, and ETL/ELT processes.
• 3+ Years Experience with Azure Databricks: Practical experience with big data analytics, Spark-based processing, and collaborative development environments.
• 3+ Years Experience with Redis: Familiarity with in-memory data structures and high-throughput caching solutions.
Preferred Skills & Qualifications:
• Experience with data lake architectures and modern data warehouse solutions.
• Familiarity with CI/CD pipelines and infrastructure-as-code (e.g., Terraform, ARM templates).
• Knowledge of Power BI, Azure Synapse Analytics, or other reporting tools.
• Strong analytical, problem-solving, and communication skills.