Nasscomm
Senior Data Engineer (Only W2)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer (W2) with a contract length of 6+ months, offering remote work. Key skills include SQL, data engineering, data quality, and documentation. Experience in data lakes and ETL processes is required.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
July 21, 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 Management #Data Warehouse #SQL (Structured Query Language) #Metadata #"ETL (Extract #Transform #Load)" #Documentation #Data Engineering #Data Pipeline #Data Lake #SQL Queries #AI (Artificial Intelligence) #Data Lineage #Data Quality
Role description
Job Title - Data Engineer
Location – Remote
Duration- 6+ Months
Client- Deloitte
• Review and enhance Unity Catalog documentation by identifying gaps, correcting inaccuracies, and improving business-friendly table and column definitions.
• Analyze SQL queries, ETL/ELT workflows, and upstream data pipelines to understand how data is sourced, transformed, and published across the data lake.
• Lead discovery sessions with business and technical stakeholders to capture business context, usage guidelines, data limitations, and ownership.
• Create and maintain comprehensive documentation covering data lineage, metadata, semantic definitions, governance policies, and approved business use cases.
• Document data restrictions, sensitive data handling, and appropriate usage for reporting, analytics, AI, and LLM-enabled applications.
• Validate LLM-generated responses against documented definitions to ensure accuracy, consistency, safety, and alignment with business context.
• Identify and report gaps in metadata, data quality, lineage, governance, and ownership to improve enterprise AI readiness.
• Utilize strong SQL, data warehouse, data lake, analytics, and documentation expertise while collaborating with cross-functional teams to support responsible AI adoption and trusted data management.
Job Title - Data Engineer
Location – Remote
Duration- 6+ Months
Client- Deloitte
• Review and enhance Unity Catalog documentation by identifying gaps, correcting inaccuracies, and improving business-friendly table and column definitions.
• Analyze SQL queries, ETL/ELT workflows, and upstream data pipelines to understand how data is sourced, transformed, and published across the data lake.
• Lead discovery sessions with business and technical stakeholders to capture business context, usage guidelines, data limitations, and ownership.
• Create and maintain comprehensive documentation covering data lineage, metadata, semantic definitions, governance policies, and approved business use cases.
• Document data restrictions, sensitive data handling, and appropriate usage for reporting, analytics, AI, and LLM-enabled applications.
• Validate LLM-generated responses against documented definitions to ensure accuracy, consistency, safety, and alignment with business context.
• Identify and report gaps in metadata, data quality, lineage, governance, and ownership to improve enterprise AI readiness.
• Utilize strong SQL, data warehouse, data lake, analytics, and documentation expertise while collaborating with cross-functional teams to support responsible AI adoption and trusted data management.
