CBTS
Data Engineer(only W2)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Engineer (W2) for a contract duration of "unknown" with a pay rate of "unknown." Key skills include large-scale database migrations, Payments and Treasury Management expertise, ETL processes, SQL, Python, and familiarity with AWS, Azure, or Google Cloud.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 25, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Cincinnati, OH
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🧠 - Skills detailed
#Database Migration #SQL (Structured Query Language) #"ETL (Extract #Transform #Load)" #Compliance #Automation #Azure #GCP (Google Cloud Platform) #Migration #Cloud #Python #Data Quality #AWS (Amazon Web Services) #Data Engineering #Data Migration #Data Processing
Role description
Qualifications
• Proven experience with large-scale database migrations (10K+ customers, multiple LOBs).
• Strong understanding of Payments and Treasury Management products.
• Expertise in ETL processes, SQL, and Python for automation.
• Familiarity with Cloud data services (AWS, Azure, or Google Cloud Platform).
• Knowledge of data quality, reconciliation, and compliance best practices.
Key Responsibilities
• Design and implement data migration strategies from DB2 to Cloud.
• Build and optimize ETL pipelines and Python automation scripts for data processing and reconciliation.
• Define and execute migration phases, checkpoints, and quality controls.
• Perform data validation and reconciliation to ensure accuracy and compliance.
• Collaborate with DBAs, architects, application teams, and business stakeholders across multiple lines of business.
Qualifications
• Proven experience with large-scale database migrations (10K+ customers, multiple LOBs).
• Strong understanding of Payments and Treasury Management products.
• Expertise in ETL processes, SQL, and Python for automation.
• Familiarity with Cloud data services (AWS, Azure, or Google Cloud Platform).
• Knowledge of data quality, reconciliation, and compliance best practices.
Key Responsibilities
• Design and implement data migration strategies from DB2 to Cloud.
• Build and optimize ETL pipelines and Python automation scripts for data processing and reconciliation.
• Define and execute migration phases, checkpoints, and quality controls.
• Perform data validation and reconciliation to ensure accuracy and compliance.
• Collaborate with DBAs, architects, application teams, and business stakeholders across multiple lines of business.
