RIIM
Sr Snowflake Data Engineer - DB Scripting
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr Snowflake Data Engineer with 10–15 years of experience in asset management or financial services, focusing on Snowflake, SQL, Python, and modern ELT frameworks. Contract length and pay rate are unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
June 26, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
New York, NY
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🧠 - Skills detailed
#SQL (Structured Query Language) #Data Quality #dbt (data build tool) #Automation #"ETL (Extract #Transform #Load)" #Airflow #Snowflake #Scripting #Python #Data Engineering
Role description
• 10–15 years of experience building enterprise‑scale data platforms, preferably within asset management, capital markets, or financial services.
• Deep hands‑on experience with Snowflake, including performance optimization and advanced SQL development.
• Strong experience with modern ELT frameworks such as dbt and orchestration tools like Airflow.
• Advanced proficiency in SQL and Python for data transformation, automation, and control frameworks.
• Proven experience designing complex financial data models supporting holdings, transactions, cash flows, and exposure analytics.
• Solid understanding of IBOR/ABOR concepts, investment operations, and downstream reporting requirements.
• Experience implementing data quality, reconciliation, and governance controls in regulated environments.
• 10–15 years of experience building enterprise‑scale data platforms, preferably within asset management, capital markets, or financial services.
• Deep hands‑on experience with Snowflake, including performance optimization and advanced SQL development.
• Strong experience with modern ELT frameworks such as dbt and orchestration tools like Airflow.
• Advanced proficiency in SQL and Python for data transformation, automation, and control frameworks.
• Proven experience designing complex financial data models supporting holdings, transactions, cash flows, and exposure analytics.
• Solid understanding of IBOR/ABOR concepts, investment operations, and downstream reporting requirements.
• Experience implementing data quality, reconciliation, and governance controls in regulated environments.
