Raas Infotek
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Engineer position in Austin, TX, on a contract basis. Key skills include Azure Synapse, SQL Server, PowerShell, and Scala. Requires experience in distributed data processing and familiarity with Parquet and Delta Lake formats.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
November 14, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Austin, Texas Metropolitan Area
-
🧠 - Skills detailed
#Shell Scripting #Data Storage #Security #Microsoft Azure #Azure #Scripting #Programming #Cloud #Data Processing #Delta Lake #Spark (Apache Spark) #SQL (Structured Query Language) #Storage #Data Management #SQL Server #Data Engineering #Apache Spark #Data Pipeline #Data Integration #Automation #Synapse #ADLS (Azure Data Lake Storage) #Scala
Role description
Job Title: Data Engineer
Location: Austin, TX
Employment Type: W Contract
Job Summary:
We are seeking an experienced Data Engineer with strong expertise in Azure data technologies and distributed data processing frameworks. The ideal candidate will be responsible for designing, implementing, and maintaining scalable data solutions using modern Azure services. You will work closely with cross-functional teams to ensure efficient data integration, automation, and reporting solutions
Key Responsibilities:
• Develop, maintain, and optimize data pipelines leveraging Azure Synapse, ADLS Gen2, SQL Server, and IAAS VMs.
• Create and manage Azure Automation runbooks using PowerShell for task automation and process orchestration.
• Perform SQL Server database backup and restore operations across Azure and on-premises environments.
• Implement and support distributed data processing using Apache Spark.
• Work with various storage formats such as Parquet and Delta Lake for efficient data storage and retrieval.
• Collaborate with teams to support Fabric-based reporting solutions (preferred).
• Apply Scala programming and strong object-oriented design (OOPS) principles to build reliable and maintainable data workflows.
• Ensure best practices in data management, security, and performance optimization.
Required Skills & Experience:
• Hands-on experience with Azure Synapse, ADLS Gen2, SQL Server, and IAAS VMs.
• Proficiency in PowerShell scripting and Azure Automation.
• Strong understanding of Spark and distributed data processing concepts.
• Expertise in Scala programming and OOPS fundamentals.
• Experience with Parquet and Delta Lake file formats.
Preferred Qualifications
• Experience with Microsoft Azure Fabric-based reporting solutions.
• Previous experience working with or for Microsoft is a plus.
• Familiarity with enterprise-scale data engineering in a cloud-first environment.
Job Title: Data Engineer
Location: Austin, TX
Employment Type: W Contract
Job Summary:
We are seeking an experienced Data Engineer with strong expertise in Azure data technologies and distributed data processing frameworks. The ideal candidate will be responsible for designing, implementing, and maintaining scalable data solutions using modern Azure services. You will work closely with cross-functional teams to ensure efficient data integration, automation, and reporting solutions
Key Responsibilities:
• Develop, maintain, and optimize data pipelines leveraging Azure Synapse, ADLS Gen2, SQL Server, and IAAS VMs.
• Create and manage Azure Automation runbooks using PowerShell for task automation and process orchestration.
• Perform SQL Server database backup and restore operations across Azure and on-premises environments.
• Implement and support distributed data processing using Apache Spark.
• Work with various storage formats such as Parquet and Delta Lake for efficient data storage and retrieval.
• Collaborate with teams to support Fabric-based reporting solutions (preferred).
• Apply Scala programming and strong object-oriented design (OOPS) principles to build reliable and maintainable data workflows.
• Ensure best practices in data management, security, and performance optimization.
Required Skills & Experience:
• Hands-on experience with Azure Synapse, ADLS Gen2, SQL Server, and IAAS VMs.
• Proficiency in PowerShell scripting and Azure Automation.
• Strong understanding of Spark and distributed data processing concepts.
• Expertise in Scala programming and OOPS fundamentals.
• Experience with Parquet and Delta Lake file formats.
Preferred Qualifications
• Experience with Microsoft Azure Fabric-based reporting solutions.
• Previous experience working with or for Microsoft is a plus.
• Familiarity with enterprise-scale data engineering in a cloud-first environment.
