Jobs via Dice

Azure Databricks Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Azure Databricks Engineer on a W2 contract, remote for 7+ years of data engineering experience. Key skills include Azure Databricks, ADF, PySpark, Python, and SQL Server. Leadership experience and strong communication skills are essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
November 21, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Data Engineering #Python #"ETL (Extract #Transform #Load)" #ADF (Azure Data Factory) #Azure Databricks #Data Governance #Leadership #Databricks #Documentation #Data Architecture #Azure #Security #Spark (Apache Spark) #SQL Server #PySpark #Compliance #SQL (Structured Query Language) #Scala #Databases #Data Modeling #Azure Data Factory #BI (Business Intelligence) #Data Pipeline
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Innorev Technologies, Inc, is seeking the following. Apply via Dice today! Role: Azure Databricks Engineer W2 Contract Role Remote Position JD: Lead and mentor a team of data engineers in building and optimizing scalable data pipelines. Design robust data architectures using Azure Data Factory (ADF) and Azure Databricks. Develop and maintain ETL/ELT workflows using PySpark and Python. Work with SQL Server databases for data modeling, extraction, and transformation tasks. Collaborate with development and analytics teams to deliver reporting solutions and ensure data availability. Implement best practices for data governance, security, and documentation. Work closely with cross-functional teams in a CST-aligned schedule. Required Skills & Experience: 7+ years of experience in data engineering or related roles. Strong expertise in Azure Databricks, ADF, and Azure Data Architecture. Proficiency in PySpark, Python, and SQL Server. Experience in leading technical teams and delivering production-ready solutions. Strong understanding of data pipelines, data warehousing, and real-time processing. Excellent communication and leadership skills. Preferred Qualifications: Familiarity with data governance and compliance best practices. Background in BI/reporting platforms is a plus.