ESB Technologies

Azure Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Data Engineer in Dallas, TX, with a W2 contract. Key skills include Azure Data Factory, Azure Synapse Analytics, and Azure Databricks. Experience in ETL/ELT processes and SQL is required. Onsite work is mandatory.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 19, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Dallas, TX
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🧠 - Skills detailed
#Microsoft Azure #Synapse #Scala #Data Architecture #Data Processing #Data Quality #Azure #Data Engineering #Data Modeling #Security #Azure Synapse Analytics #Data Pipeline #Cloud #ADF (Azure Data Factory) #Azure Databricks #Azure Data Factory #"ETL (Extract #Transform #Load)" #SQL (Structured Query Language) #Data Analysis #Databricks
Role description
Job Title: Azure Data Engineer Location: Dallas, TX Work Type: Onsite (5 days/week) Job Type: W2 Job Summary: We are seeking a skilled Azure Data Engineer to join our team in Dallas, TX. The ideal candidate will be responsible for designing, developing, and maintaining scalable data solutions on Microsoft Azure. This role requires strong expertise in Azure data services and hands-on experience in building modern data pipelines and analytics platforms. Key Responsibilities: Design and develop scalable data pipelines using Azure Data Factory (ADF). Build and optimize data solutions using Azure Synapse Analytics. Develop and maintain data processing workflows using Azure Databricks. Implement ETL/ELT processes for structured and unstructured data. Ensure data quality, integrity, and security across data platforms. Collaborate with data analysts, architects, and business stakeholders to deliver data-driven solutions. Monitor, troubleshoot, and optimize data workflows and performance. Required Skills: Strong experience with Azure Data Factory (ADF) Hands-on experience with Azure Synapse Analytics Proficiency in Azure Databricks Experience with SQL and data modeling Knowledge of ETL/ELT processes Experience with cloud-based data architecture