STAFFXPERT LLC

Azure Data Engineer - Utility Domain Exp Must

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Data Engineer with utility domain experience, on a contract basis in New York, NY. Key skills include Azure Data Factory, Databricks, ETL/ELT pipeline design, and SQL optimization. Databricks certification required.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
May 30, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
New York, NY
-
🧠 - Skills detailed
#Synapse #SQL Queries #Data Processing #Azure Security #Azure cloud #ML (Machine Learning) #Databricks #Data Governance #Azure Data Factory #Data Lineage #Data Lake #Azure Machine Learning #Data Management #Scala #"ETL (Extract #Transform #Load)" #Cloud #Compliance #Data Engineering #SQL (Structured Query Language) #Data Architecture #Azure Cosmos DB #Metadata #Azure Synapse Analytics #Apache Spark #Azure ADLS (Azure Data Lake Storage) #BI (Business Intelligence) #Data Quality #Microsoft Azure #.Net #Azure Databricks #Spark (Apache Spark) #Microsoft Power BI #Storage #IAM (Identity and Access Management) #Azure #ADF (Azure Data Factory) #Security #ADLS (Azure Data Lake Storage) #C# #Datasets
Role description
Azure Data Engineer Location: New York, NY Employment Type: Contract Job Summary STAFFXPERT LLC is seeking an Azure Data Engineer on behalf of our client in New York, NY. The ideal candidate will have strong expertise in Azure cloud technologies, Databricks, and enterprise data engineering. This role involves designing scalable data solutions, developing high-performance ETL/ELT pipelines, and supporting advanced analytics and business intelligence initiatives within a secure cloud environment. Key Responsibilities • Design, develop, and maintain scalable data solutions on Microsoft Azure • Build and optimize ETL/ELT pipelines using Azure Data Factory (ADF) and Azure Databricks • Develop and manage enterprise data lake solutions using Azure Data Lake Storage (ADLS) • Implement Spark-based data processing solutions for large-scale datasets • Create dashboards and reporting solutions using Power BI • Ensure data quality, governance, lineage, and compliance standards are maintained • Collaborate with cross-functional teams including analytics, engineering, and business stakeholders • Optimize SQL queries, data models, and overall pipeline performance • Implement secure cloud data architectures and Azure security best practices Required Qualifications • Strong hands-on experience with Azure Data Factory (ADF) • Expertise in Azure Databricks and Apache Spark • Experience with Azure Data Lake, Power BI, and SQL • Advanced SQL development and query optimization skills • Experience designing scalable ETL/ELT pipelines • Strong understanding of Azure security concepts including IAM, RBAC, encryption, and secure data communication • Experience with data governance, metadata management, and data lineage • Databricks Certified Data Engineer Associate certification Preferred Qualifications • Experience with Azure Synapse Analytics, Azure Cosmos DB, or Azure Machine Learning • Knowledge of serverless Azure architecture • Experience with .NET / C# is a plus • Azure certifications such as Azure Security Engineer Associate or Azure Solutions Architect Expert preferred • Prior experience in enterprise or regulated industry environments is a plus