Anblicks
Azure Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Data Engineer with a contract length of unspecified duration, offering a pay rate of "unknown." The position is hybrid in Plano, TX, requiring expertise in Azure, SQL Server, Python, Snowflake, ETL pipelines, and SSIS.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
June 12, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Plano, TX
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #JSON (JavaScript Object Notation) #XML (eXtensible Markup Language) #Data Pipeline #SQL Server #SSIS (SQL Server Integration Services) #Azure SQL #Azure #Migration #SQL (Structured Query Language) #Data Science #Datasets #Data Engineering #Data Integration #Python #Snowflake
Role description
Position : Azure Data Engineer::Hybrid::Plano, TX
Job Summary:
11+ Need Data Engineer position involves designing, developing, automating, and maintaining data pipelines for Credit & Data Integrations, Insurance datasets, Application datasets, and Snowflake migrations. This role requires direct collaboration with the Credit , Data Science, and Data Engineering teams with minimal supervision to ensure high-quality data availability for analytics, reporting, and Decision Engine workflows.
Key skills for this role include substantial experience strong with Azure ,SQL Server, Python, Snowflake, and ETL pipelines, as well as expertise in credit-bureau/JSON/XML parsing. Additionally, some packages are still in SSIS, so the ability to execute and debug SSIS packages is also necessary.
This is 80% on Azure & SQL Server 20% on Snowflake works.
Position : Azure Data Engineer::Hybrid::Plano, TX
Job Summary:
11+ Need Data Engineer position involves designing, developing, automating, and maintaining data pipelines for Credit & Data Integrations, Insurance datasets, Application datasets, and Snowflake migrations. This role requires direct collaboration with the Credit , Data Science, and Data Engineering teams with minimal supervision to ensure high-quality data availability for analytics, reporting, and Decision Engine workflows.
Key skills for this role include substantial experience strong with Azure ,SQL Server, Python, Snowflake, and ETL pipelines, as well as expertise in credit-bureau/JSON/XML parsing. Additionally, some packages are still in SSIS, so the ability to execute and debug SSIS packages is also necessary.
This is 80% on Azure & SQL Server 20% on Snowflake works.
