Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Engineer position for a long-term contract in King of Prussia, Pennsylvania, offering a pay rate DOE. Requires 10+ years of Data Engineering experience, proficiency in SQL, and expertise in Azure Data Factory, Databricks, and Purview.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
April 24, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
On-site
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
King of Prussia, PA
🧠 - Skills detailed
#ADF (Azure Data Factory) #MS SQL (Microsoft SQL Server) #SaaS (Software as a Service) #Data Lake #Data Pipeline #Azure Data Factory #Data Quality #Azure Databricks #SQL Server #Classification #Data Bricks #Microsoft SQL #Security #Data Governance #Databricks #Compliance #Airflow #Data Lineage #Microsoft SQL Server #SQL (Structured Query Language) #Azure #Data Engineering #Data Security
Role description

Salary: DOE

Description

We are in search of a Data Engineer to join our team in the Waste, Refuse & Environmental Waste Management industry, located in King of Prussia, Pennsylvania. As a Data Engineer, your central role will be to develop and implement data quality frameworks and manage Azure PaaS components. This opportunity offers a long-term contract employment opportunity.

Responsibilities

   • Develop and implement data quality frameworks using custom or SaaS tools.

   • Operate with Microsoft SQL Server, Azure PaaS components like Azure Data Factories, Data Bricks, and Azure Data Lake Analytics.

   • Set up business glossary within the overall data governance program.

   • Create data lineage in Purview or similar tools.

   • Manage Azure Purview, registering resources, setting up scans, adding glossary teams, lineages, and more.

   • Maintain a strong knowledge of Role-Based Access Control (RBAC), Managed Identities, Purview, and Data Sensitivity Classification to ensure data security and compliance.

   • Coordinate data pipelines utilizing tools like Airflow to ensure smooth data flow and effective processing from multiple sources to specific destinations.

Requirements

   • The ideal candidate should have at least 10 years of experience in Data Engineering.

   • Proficiency in SQL and SQL Server is mandatory.

   • Practical experience with Azure Data Factory and Azure Databricks is required.

   • A strong understanding and experience with SaaS (Software as a Service) is necessary.

   • Familiarity with SaaS PaaS (Software as a Service Platform as a Service) is essential.

   • Experience with Purview is a key requirement.

   • A background in the Waste, Refuse & Environmental Waste Management industry is preferred.

   • Excellent problem-solving skills and attention to detail are expected.

   • The ability to work both independently and in a team-oriented environment is necessary.

   • Strong communication skills, both written and verbal, are required.

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