

Azure Data Engineer with Databricks (W2 Only - Open For Sponsorship)
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Data Engineer with Databricks in Raleigh, NC (Hybrid) for 12+ months, W2 only, open for sponsorship. Requires 2-3 years of Azure Databricks experience, strong SQL and Python skills, and data science knowledge.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
August 2, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
Hybrid
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π - Contract type
W2 Contractor
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π - Security clearance
Unknown
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π - Location detailed
Raleigh, NC
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π§ - Skills detailed
#BI (Business Intelligence) #SQL Queries #SQL (Structured Query Language) #Azure #Data Mining #Data Pipeline #Terraform #Python #"ETL (Extract #Transform #Load)" #Visualization #Cloud #Data Engineering #Spark SQL #Azure Databricks #Data Analysis #Data Mapping #Data Science #Microsoft Power BI #Datasets #ML (Machine Learning) #Data Quality #Spark (Apache Spark) #Databricks #Documentation #Leadership #Data Transformations
Role description
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Position: Azure data engineer with Databricks
Location: Raleigh NC (Hybrid - On site)
Duration: 12+ Months
β’
β’ W2 Only Open for Sponsorship
β’
β’ Top Skills
β’ Hands-On experience designing, deploying and managing Azure Databricks Architecture in Enterprise Environments (2-3 years)
β’ Strong understanding of data science concepts, statistical learning, and machine learning.
β’ SQL and Python for developing Queries, data transformations, and interactive dashboards
β’ Leadership, innovator, forward-thinker, problem-solver, etc.
Secondary Skills - Nice to Haves
β’ Cloud
β’ Infrastructure
β’ Active directory
β’ Terraform
β’ PowerShell
Key Responsibilities
β’ Conduct comprehensive data analysis, create data mappings, develop dashboards, and ensure data quality and integrity
β’ Leverage Spark SQL within Databricks to query and analyze large datasets, writing efficient and complex SQL queries
β’ Collaborate closely with data engineers to design and deliver high-quality data products
β’ Develop detailed data mappings to support the integration and transformation of data from diverse sources into structured, analysis-ready formats
β’ Design and build intuitive, informative dashboards using tools such as Power BI or Databricks' native visualization tools to effectively communicate insights
β’ Build Gold-layer data products to support custom-built dashboards, APIs, and UI tools
β’ Create clear and comprehensive documentation for data pipelines, mappings, models, and dashboard functionality
β’ Perform statistical analysis, data mining, and machine learning to uncover patterns, trends, and actionable insights
β’ Develop and implement predictive models, algorithms, and advanced analytical tools to address specific business challenges