BBI
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with 1-10 years of experience, focusing on developing ETL processes using Databricks and PySpark. Contract length is "unknown," with a pay rate of "unknown," and requires proficiency in Azure Data Factory and data quality compliance.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
March 14, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Data Quality #ADF (Azure Data Factory) #UAT (User Acceptance Testing) #Data Integration #Azure Data Factory #PySpark #Security #Data Engineering #Azure #Data Pipeline #Compliance #Databricks #Datasets #Spark (Apache Spark) #"ETL (Extract #Transform #Load)"
Role description
• Develop, deploy, and maintain robust data pipelines and ETL processes using Databricks and PySpark to ingest, process, and transform enterprise grade large-scale datasets
• Design and implement data integration workflows and orchestration using Azure Data Factory to automate data movement across diverse sources and destinations
• Monitor, troubleshoot, and enhance data pipeline performance (optimize for cost as well), ensuring data quality, security, and compliance with organizational standards
• Integrate data solutions with Client’s DQ framework
• Experience with develop and execute unit test cases/SIT cases and test plans in ADO or a testing tool
• Support with resolution of UAT defects
• Preferred: Develop reports and dashboards using PowerBI
We are hiring for Data Engineering roles at Levels L1, L2, and L3. Candidates with 1 to 10 years of experience in data engineering are encouraged to apply
• Develop, deploy, and maintain robust data pipelines and ETL processes using Databricks and PySpark to ingest, process, and transform enterprise grade large-scale datasets
• Design and implement data integration workflows and orchestration using Azure Data Factory to automate data movement across diverse sources and destinations
• Monitor, troubleshoot, and enhance data pipeline performance (optimize for cost as well), ensuring data quality, security, and compliance with organizational standards
• Integrate data solutions with Client’s DQ framework
• Experience with develop and execute unit test cases/SIT cases and test plans in ADO or a testing tool
• Support with resolution of UAT defects
• Preferred: Develop reports and dashboards using PowerBI
We are hiring for Data Engineering roles at Levels L1, L2, and L3. Candidates with 1 to 10 years of experience in data engineering are encouraged to apply
