Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in Somerset, New Jersey, on a Contract-to-Permanent basis with a salary based on experience. Requires 5 years of Azure data platform experience, proficiency in Azure Databricks, Delta Lake, and programming in Python or Scala.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
April 25, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
On-site
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Somerset, NJ
🧠 - Skills detailed
#Data Modeling #Azure ADLS (Azure Data Lake Storage) #Migration #Programming #Databricks #Storage #Compliance #Delta Lake #Data Architecture #Azure #Data Quality #Python #Azure Databricks #Data Governance #Security #Data Lake #Data Pipeline #BI (Business Intelligence) #Scala #Computer Science #Data Engineering #ADLS (Azure Data Lake Storage)
Role description

Salary: DOE

Description

We are looking for a talented Data Engineer to join our team in Somerset, New Jersey. This is a Contract-to-Permanent opportunity where you will play a key role in designing, developing, and optimizing scalable data solutions. The ideal candidate will collaborate with cross-functional teams to modernize our data infrastructure and support the migration to an Azure Lakehouse architecture.

Responsibilities

   • Lead the migration of existing data assets to an Azure Lakehouse architecture, ensuring smooth transitions and optimized performance.

   • Design, develop, and maintain scalable data pipelines using Azure Databricks, incorporating Delta Lake and Parquet file formats.

   • Collaborate with data architects to implement best practices in data modeling, partitioning, and storage optimization.

   • Enhance query performance and streamline cost management within Azure Data Lake Storage and Databricks environments.

   • Develop and implement data quality frameworks to ensure accuracy, reliability, and consistency of data.

   • Integrate analytics and reporting solutions on top of the data lake to support business intelligence needs.

   • Contribute to the roadmap for transitioning to Microsoft Fabric, leveraging Delta Lake and Parquet assets.

   • Document workflows, architecture designs, and operational processes to ensure seamless knowledge sharing.

   • Mentor team members with less experience and lead technical training sessions to foster skill development.

Requirements

   • Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent relevant experience.

   • At least 5 years of experience in data engineering with a strong focus on Azure data platform technologies.

   • Advanced knowledge of Azure Databricks, Delta Lake, and Parquet file formats.

   • Hands-on experience in building and maintaining data pipelines and implementing data modeling strategies.

   • Proficiency in programming languages such as Python or Scala.

   • Solid understanding of data governance, security, and compliance standards.

   • Familiarity with Microsoft Fabric architecture and migration strategies.

   • Excellent communication and collaboration skills in team-oriented environments.

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