

HYR Global Source Inc
Lead Data Engineer(Databricks) - Remote (Need Local to PST/MST)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Data Engineer (Databricks) with a contract length of over 6 months, offering a pay rate of "TBD". It is remote but requires candidates to be local to PST/MST. Key skills include Databricks, SQL, Azure Data Factory, and Python.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
February 20, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Remote
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Data Transformations #Spark (Apache Spark) #Azure #ADF (Azure Data Factory) #Data Quality #Data Analysis #Data Architecture #"ETL (Extract #Transform #Load)" #Security #Data Processing #Azure Data Factory #Scala #Data Lake #Migration #SQL (Structured Query Language) #Leadership #Python #Databricks #Data Science #Data Engineering #PySpark #Data Modeling #Cloud #DataStage
Role description
Job Title: Lead Data Engineer (Need locals PST/MST)
Location: San Francisco, CA (Remote)
Job Type: Fulltime/ W2
Job Overview
We are seeking an experienced Lead Data Engineer to drive large-scale data platform modernization initiatives, including Databricks migration and enterprise data architecture design. This role requires deep hands-on expertise along with strong leadership capabilities to guide engineering teams and collaborate with cross-functional stakeholders.
The ideal candidate will have extensive experience designing scalable data solutions, leading cloud data transformations, and implementing modern data engineering best practices.
Key Responsibilities
• Lead end-to-end Databricks migration initiatives from legacy platforms (e.g., DataStage) to modern cloud-based architectures
• Design and implement scalable data architecture frameworks in Azure environments
• Build and optimize ETL/ELT pipelines using Azure Data Factory (ADF), Databricks, PySpark, and SQL
• Architect robust data lakes and lakehouse solutions
• Develop and maintain high-performance data workflows using Python and PySpark
• Collaborate with Data Analysts, Data Scientists, and Business stakeholders to define data requirements
• Ensure data quality, governance, security, and performance optimization
• Mentor and lead junior/mid-level data engineers
• Participate in architectural discussions and provide technical leadership
Required Skills & Experience
• 10+ years of experience in Data Engineering
• Strong hands-on experience with:
• Databricks (implementation & migration projects)
• SQL (advanced query optimization and performance tuning)
• Azure Data Factory (ADF)
• DataStage
• Python & PySpark
• Experience designing enterprise-level data architecture solutions
• Strong knowledge of cloud data platforms (preferably Azure)
• Experience with data modeling and large-scale data processing
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Job Title: Lead Data Engineer (Need locals PST/MST)
Location: San Francisco, CA (Remote)
Job Type: Fulltime/ W2
Job Overview
We are seeking an experienced Lead Data Engineer to drive large-scale data platform modernization initiatives, including Databricks migration and enterprise data architecture design. This role requires deep hands-on expertise along with strong leadership capabilities to guide engineering teams and collaborate with cross-functional stakeholders.
The ideal candidate will have extensive experience designing scalable data solutions, leading cloud data transformations, and implementing modern data engineering best practices.
Key Responsibilities
• Lead end-to-end Databricks migration initiatives from legacy platforms (e.g., DataStage) to modern cloud-based architectures
• Design and implement scalable data architecture frameworks in Azure environments
• Build and optimize ETL/ELT pipelines using Azure Data Factory (ADF), Databricks, PySpark, and SQL
• Architect robust data lakes and lakehouse solutions
• Develop and maintain high-performance data workflows using Python and PySpark
• Collaborate with Data Analysts, Data Scientists, and Business stakeholders to define data requirements
• Ensure data quality, governance, security, and performance optimization
• Mentor and lead junior/mid-level data engineers
• Participate in architectural discussions and provide technical leadership
Required Skills & Experience
• 10+ years of experience in Data Engineering
• Strong hands-on experience with:
• Databricks (implementation & migration projects)
• SQL (advanced query optimization and performance tuning)
• Azure Data Factory (ADF)
• DataStage
• Python & PySpark
• Experience designing enterprise-level data architecture solutions
• Strong knowledge of cloud data platforms (preferably Azure)
• Experience with data modeling and large-scale data processing
Follow us over Linkedin - https://www.linkedin.com/company/hyr-global-source-inc
To Get more job notifications






