Tech Genius inc
Lead Azure Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Azure Data Engineer with 10+ years of experience, located in Phoenix, AZ (or New York/Atlanta). Pay is $57/hr on W2. Key skills include Azure Data Factory, SQL, and Databricks. On-site work required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
November 6, 2025
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Phoenix, AZ
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🧠 - Skills detailed
#SQL (Structured Query Language) #Azure SQL #Azure #ADF (Azure Data Factory) #Databricks #Compliance #Scala #Data Engineering #Azure Data Factory #Data Lake #Migration #Security #Storage #Azure SQL Database
Role description
Client: Marsh
Lead Azure Data Engineer
Location: 1st Preference - Phoenix, AZ , if not then New York, Atlanta, GA
Experience: 10+ years
Rate: 57/Hr on W2.
Visa: Except GC, USC and OPT’s (DOB should be before 1992 and Linkedin before 2018)
Project description:
Marsh MMA intend to modernize and unify the current fragmented Azure data and analytics architecture by migrating to a Databricks native services platform, thereby reducing operational complexity, eliminating data duplication, minimizing latency, and enhancing compliance, security, and scalability. Scope Involves Databricks Platform enablement & Existing System migration
Technical Skills:
Required: Azure Data Factory, SQL, Azure Functions, Azure SQL Database, Azure Data Lake, Azure Storage & Databricks
Client: Marsh
Lead Azure Data Engineer
Location: 1st Preference - Phoenix, AZ , if not then New York, Atlanta, GA
Experience: 10+ years
Rate: 57/Hr on W2.
Visa: Except GC, USC and OPT’s (DOB should be before 1992 and Linkedin before 2018)
Project description:
Marsh MMA intend to modernize and unify the current fragmented Azure data and analytics architecture by migrating to a Databricks native services platform, thereby reducing operational complexity, eliminating data duplication, minimizing latency, and enhancing compliance, security, and scalability. Scope Involves Databricks Platform enablement & Existing System migration
Technical Skills:
Required: Azure Data Factory, SQL, Azure Functions, Azure SQL Database, Azure Data Lake, Azure Storage & Databricks
