

Senior Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer in San Jose, CA, offering a long-term contract. Key skills include Databricks, ETL, SQL, and Azure technologies. Candidates must have 12+ years of experience and a bachelor's degree in a related field.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
July 30, 2025
π - Project duration
Unknown
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ποΈ - Location type
On-site
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
San Jose, CA
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π§ - Skills detailed
#SQL (Structured Query Language) #Azure Data Factory #Cloud #Security #Migration #ADF (Azure Data Factory) #Data Governance #Azure cloud #Azure #Storage #VPN (Virtual Private Network) #"ETL (Extract #Transform #Load)" #Java #PySpark #ML (Machine Learning) #Data Engineering #Computer Science #Python #Scala #Programming #Delta Lake #Azure Blob Storage #Spark SQL #JDBC (Java Database Connectivity) #Spark (Apache Spark) #DevOps #Data Migration #Compliance #Databricks
Role description
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Hello,
We have a job opportunity for the position Azure Data Engineer Lead with one of our clients.
If you are interested, please share your latest resume to Ramesh.s@saxonglobal.com
It is highly appreciated if you refer anyone who is available in the job market.
Job Role : Azure Data Engineer Lead
Location : San Jose, CA (Onsite) Need Only locals
Duration: Long term contract
Key skills: Databricks with ETL and SQL
Job Description:
Educational Qualification
β’ Bachelorβs degree in computer science, Information Systems, or a related field.
Job Description of Role
β’ Overview:
We are looking for a skilled Technical Lead to oversee the design and implementation of large-scale data engineering and migration projects. The ideal candidate will have hands-on expertise in Databricks, Azure Data Factory, and related technologies, with a proven track record of leading at least 3 successful data projects.
Experience Required:
Minimum of 12 years of experience in data engineering and architecture roles.
Must have led 3 or more end-to-end enterprise data projects, Databricks, and Azure technologies.
Primary (Must have skills)
β’ Primary Skills:
β’ Deep knowledge of architecture and complex data models
β’ Extensive experience with Databricks, PySpark, Spark SQL, and Delta Lake.
β’ Strong command over ETL tools such as Data Services and Azure Data Factory.
β’ Proficient in programming languages: Python, Java, or Scala.
β’ Hands-on with Azure cloud services including networking and security configurations.
Key Responsibilities:
1. Lead the design and implementation of ETL solutions using Azure Data Factory.
1. Guide and mentor team members on data engineering best practices.
1. Develop and maintain complex ETL pipelines using Python, Java, or Scala.
1. Ensure high-quality, secure, and performant data migrations using Azure Blob Storage and Spark JDBC.
1. Drive collaboration across teams to implement advanced analytics and ML models in Databricks.
1. Identify and resolve performance bottlenecks and network-related issues.
1. Ensure adherence to data governance and compliance standards across all data flows.
Experience Range
8+ Years
Secondary Skills (Good To have)
β’ Secondary Skills:
β’ Understanding of Databricks ML and analytics tools.
β’ Experience resolving networking/VPN issues related to data flow.
β’ Familiarity with data governance, security, and compliance frameworks.
β’ Experience in setting up CI/CD pipelines and using DevOps tools is a plus.