Gardner Resources Consulting, LLC
Lead Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Data Engineer with a contract length of "unknown", offering a pay rate of "unknown". Key requirements include a Bachelor's in Computer Science, 5+ years of data application experience, SQL proficiency, and expertise in cloud platforms like Azure or AWS, preferably in financial services.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
January 15, 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
Boston, MA
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Azure #Data Engineering #Data Integration #Microsoft Azure #AWS (Amazon Web Services) #Data Warehouse #GCP (Google Cloud Platform) #Computer Science #Snowflake #Cloud #SQL (Structured Query Language) #Databases #Agile #Virtualization #DevOps #Data Management
Role description
Lead Data Engineer
Must Have:
• Bachelor’s degree in Computer Science or related disciplines.
• 5+ years of experience in design, development and building data oriented complex applications.
• 4+ years of hands-on progressive experience from SQL to Advanced SQL.
• Experience working in data integration (ETL/ELT), data warehouse, data analytics architecture and sound understanding of design principles. Knowledge of and experience with Snowflake and other cloud native databases is highly preferred.
• Development Experience in Cloud based PAAS platforms like Microsoft Azure, Google GCP or Amazon AWS
• Deep understanding of Agile SDLC, DevOps and Cloud technologies required, in addition to exposure to multiple, diverse technologies, platforms, and processing environments.
• Knowledge about various architectures, patterns such as unified data management architecture (UDM), data mesh architecture, event-driven architecture, real-time data flows, non-relational repositories, data virtualization, etc.
• Experience with building solutions in the financial services domain with an understanding of financial instruments, transactions, and positions, is desired.
Lead Data Engineer
Must Have:
• Bachelor’s degree in Computer Science or related disciplines.
• 5+ years of experience in design, development and building data oriented complex applications.
• 4+ years of hands-on progressive experience from SQL to Advanced SQL.
• Experience working in data integration (ETL/ELT), data warehouse, data analytics architecture and sound understanding of design principles. Knowledge of and experience with Snowflake and other cloud native databases is highly preferred.
• Development Experience in Cloud based PAAS platforms like Microsoft Azure, Google GCP or Amazon AWS
• Deep understanding of Agile SDLC, DevOps and Cloud technologies required, in addition to exposure to multiple, diverse technologies, platforms, and processing environments.
• Knowledge about various architectures, patterns such as unified data management architecture (UDM), data mesh architecture, event-driven architecture, real-time data flows, non-relational repositories, data virtualization, etc.
• Experience with building solutions in the financial services domain with an understanding of financial instruments, transactions, and positions, is desired.
