

Azure Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Data Engineer in San Antonio, TX, on a long-term C2C contract. Requires 7+ years in Data Engineering, expertise in Azure Synapse, ADF, Databricks, SQL, and PySpark. Strong debugging and communication skills are essential.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
July 8, 2025
π - Project duration
Unknown
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ποΈ - Location type
On-site
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
San Antonio, TX
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π§ - Skills detailed
#Data Pipeline #Data Wrangling #Spark (Apache Spark) #ADF (Azure Data Factory) #Data Lake #Data Lakehouse #Cloud #Data Engineering #Compliance #Data Architecture #Azure Databricks #Documentation #Synapse #Data Integration #Debugging #Big Data #Azure #Azure Synapse Analytics #Scala #Azure Data Factory #Microsoft Power BI #Security #SQL (Structured Query Language) #Delta Lake #Azure DevOps #DevOps #PySpark #Databricks #BI (Business Intelligence) #"ETL (Extract #Transform #Load)"
Role description
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Job Title: Azure Data Engineer
Location: San Antonio, TX (Onsite)
Contract Type: C2C
Visa: All Visa Types Accepted
Duration: Long Term
Job Description:
We are looking for a talented and results-driven Azure Data Engineer to join our data team. The ideal candidate will have deep expertise in designing, developing, and optimizing data pipelines using Azure Synapse, ADF (Azure Data Factory), and Azure Databricks. You will play a key role in transforming complex data into actionable insights to support business decisions.
Key Responsibilities:
β’ Design and develop scalable ETL/ELT data pipelines using Azure Data Factory.
β’ Build and manage data workflows integrating structured, semi-structured, and unstructured data.
β’ Work with Azure Synapse Analytics for data integration, transformation, and analytics.
β’ Implement big data solutions using Azure Databricks for data wrangling, processing, and advanced analytics.
β’ Collaborate with data architects, BI developers, and business stakeholders to ensure high-quality data delivery.
β’ Optimize performance and reliability of existing pipelines and solutions.
β’ Ensure security, governance, and compliance of cloud-based data environments.
Must-Have Skills:
β’ 7+ years of experience in Data Engineering.
β’ Strong hands-on experience with Azure Synapse Analytics, ADF, and Databricks.
β’ Proficiency in SQL, PySpark, and Data Lake architecture.
β’ Knowledge of Delta Lake, Medallion architecture is a plus.
β’ Strong debugging and performance-tuning skills.
β’ Excellent communication and documentation abilities.
Nice to Have:
β’ Experience with Medallion Architecture (Bronze/Silver/Gold layers).
β’ Familiarity with Data Lakehouse design patterns.
β’ Exposure to Azure DevOps and CI/CD for data pipelines.
β’ Power BI integration with Synapse.