Saransh Inc
Lead Data Engineer - Only W2
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Data Engineer in San Francisco, CA, offering a 9-month W2 contract. Requires 8-10 years of software development, 7 years with SQL, Databricks, ADF, and ETL tools, plus strong BI and data modeling skills.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 10, 2026
🕒 - Duration
More than 6 months
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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
San Francisco, CA
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🧠 - Skills detailed
#ADF (Azure Data Factory) #Cloud #Azure #Data Ingestion #Tableau #"ETL (Extract #Transform #Load)" #Azure Data Factory #Deployment #Data Engineering #Scala #Data Modeling #Stories #SSAS (SQL Server Analysis Services) #DataStage #ThoughtSpot #Jira #BI (Business Intelligence) #Databricks #Documentation #Data Warehouse #NoSQL #SQL (Structured Query Language) #AWS (Amazon Web Services) #Python
Role description
Role: Lead Data Engineer
Location: San Francisco, CA (1-2 days a week onsite is must)
Job Type: W2 Contract
Contract Length: 9 months with possible extension
Experience Level: Senior/Lead
Main Skills
SQL, Databricks, ADF, DataStage (or other ETL tool), SSAS cubes, Cognos/other, Tableau/other, Thoughtspot/other
Required Experience
• 8-10 years of software development and deployment experience
• At least 7 years of hands-on experience with:
• SQL
• Databricks
• Azure Data Factory (ADF)
• Datastage (or other ETL tools)
• SSAS cubes
• BI tools (Cognos, Tableau, ThoughtSpot, etc.)
• Strong Database knowledge (SQL & No-SQL preferred)
• Advanced SQL and Python skills
• Experience working with APIs for data collection/ingestion
Additional Skills & Requirements
• Experience building data ingestion pipelines and data warehouse architecture
• Ability to write design documentation, source-to-target mapping documentation, and manage Confluence pages
• Experience converting business functionalities into technical Jira stories
• Strong experience with data modeling, design patterns, and building scalable BI solutions
• Knowledge of cloud platforms (Azure, AWS or equivalent)
Role: Lead Data Engineer
Location: San Francisco, CA (1-2 days a week onsite is must)
Job Type: W2 Contract
Contract Length: 9 months with possible extension
Experience Level: Senior/Lead
Main Skills
SQL, Databricks, ADF, DataStage (or other ETL tool), SSAS cubes, Cognos/other, Tableau/other, Thoughtspot/other
Required Experience
• 8-10 years of software development and deployment experience
• At least 7 years of hands-on experience with:
• SQL
• Databricks
• Azure Data Factory (ADF)
• Datastage (or other ETL tools)
• SSAS cubes
• BI tools (Cognos, Tableau, ThoughtSpot, etc.)
• Strong Database knowledge (SQL & No-SQL preferred)
• Advanced SQL and Python skills
• Experience working with APIs for data collection/ingestion
Additional Skills & Requirements
• Experience building data ingestion pipelines and data warehouse architecture
• Ability to write design documentation, source-to-target mapping documentation, and manage Confluence pages
• Experience converting business functionalities into technical Jira stories
• Strong experience with data modeling, design patterns, and building scalable BI solutions
• Knowledge of cloud platforms (Azure, AWS or equivalent)
