

Arkhya Tech. Inc.
Azure Data Engineer - MS Fabric
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior/Lead Data Engineer (12-month contract) in Fremont, CA, requiring 12+ years of IT experience, 8+ years in data engineering, and strong Azure skills. Proficiency in SQL, PySpark, and Microsoft Fabric is essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 1, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Fremont, CA
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Databricks #PySpark #Azure #ADF (Azure Data Factory) #SQL (Structured Query Language) #Data Modeling #Data Pipeline #Scala #Spark (Apache Spark) #Data Engineering
Role description
Senior/Lead Data Engineer (Contract | Fremont, CA – Hybrid)
Duration: 12 Months Contract
Work Model: Hybrid (3 days onsite per week)
We are looking for a Senior/Lead Data Engineer to drive large-scale data transformation initiatives using Azure technologies. This role focuses on building scalable data pipelines and modern data platforms while working closely with cross-functional teams.
Key Responsibilities
• Design and build data pipelines using PySpark and SQL
• Develop scalable data warehousing solutions
• Work with Azure services including ADF, Databricks, and Microsoft Fabric
• Collaborate with business and technical teams to deliver data solutions
• Ensure performance, reliability, and scalability of data systems
• Mentor junior engineers and promote best practices
Required Experience
• 12+ years of IT experience with 8+ years in data engineering
• Strong hands-on experience with Azure stack (ADF, Databricks, Functions)
• Proficiency in SQL, PySpark, and ETL/data warehousing concepts
• Experience with Microsoft Fabric (1–2 years)
• Ability to work independently in a fast-paced environment
Preferred Skills
• Databricks certification
• Experience in data modeling
• Azure Architect certification
Senior/Lead Data Engineer (Contract | Fremont, CA – Hybrid)
Duration: 12 Months Contract
Work Model: Hybrid (3 days onsite per week)
We are looking for a Senior/Lead Data Engineer to drive large-scale data transformation initiatives using Azure technologies. This role focuses on building scalable data pipelines and modern data platforms while working closely with cross-functional teams.
Key Responsibilities
• Design and build data pipelines using PySpark and SQL
• Develop scalable data warehousing solutions
• Work with Azure services including ADF, Databricks, and Microsoft Fabric
• Collaborate with business and technical teams to deliver data solutions
• Ensure performance, reliability, and scalability of data systems
• Mentor junior engineers and promote best practices
Required Experience
• 12+ years of IT experience with 8+ years in data engineering
• Strong hands-on experience with Azure stack (ADF, Databricks, Functions)
• Proficiency in SQL, PySpark, and ETL/data warehousing concepts
• Experience with Microsoft Fabric (1–2 years)
• Ability to work independently in a fast-paced environment
Preferred Skills
• Databricks certification
• Experience in data modeling
• Azure Architect certification






