Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer on a contract basis, requiring strong SQL and data pipeline skills, experience with GCP, and a bachelor's degree in computer science or engineering. Financial industry experience is a plus.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 5, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Data Architecture #"ETL (Extract #Transform #Load)" #Data Processing #BigQuery #Data Quality #GCP (Google Cloud Platform) #Cloud #Computer Science #Databases #Data Lake #Data Engineering #Data Pipeline #SQL (Structured Query Language)
Role description
Responsibilities
• Collaborates with stakeholders to understand data requirements
• Reverse-engineers existing solution to derive additional data requirements
• Designs and implements SQL-based data pipelines to ingest, store, transform, and curate data from various internal and external sources including on-premise databases, flat files, and cloud-based systems
• Investigates and mitigates data quality issues
Skills & Expertise
• Must have in-depth understanding of modern cloud-based data architecture and distributed data processing
• Must have proven capability to setup data lake architecture on GCP data ecosystem
• Must have strong SQL writing and optimizing skills for cloud-based relational database platforms (BigQuery is a must-have)
• Must have strong proficiency using SQL to build data pipelines
• Must be able to work with minimal direction and adapt quickly to complex systems
• Must be able to work independently with minimal supervision and assistance
• Must have bachelor’s degree in computer science or engineering-related field or equivalent work experience
• Should have experience working with team sizes greater than 4 team members
• Nice to have financial industry experience
Responsibilities
• Collaborates with stakeholders to understand data requirements
• Reverse-engineers existing solution to derive additional data requirements
• Designs and implements SQL-based data pipelines to ingest, store, transform, and curate data from various internal and external sources including on-premise databases, flat files, and cloud-based systems
• Investigates and mitigates data quality issues
Skills & Expertise
• Must have in-depth understanding of modern cloud-based data architecture and distributed data processing
• Must have proven capability to setup data lake architecture on GCP data ecosystem
• Must have strong SQL writing and optimizing skills for cloud-based relational database platforms (BigQuery is a must-have)
• Must have strong proficiency using SQL to build data pipelines
• Must be able to work with minimal direction and adapt quickly to complex systems
• Must be able to work independently with minimal supervision and assistance
• Must have bachelor’s degree in computer science or engineering-related field or equivalent work experience
• Should have experience working with team sizes greater than 4 team members
• Nice to have financial industry experience
