Agile Resources, Inc.
Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer in Cleveland, OH (Hybrid) on a contract basis, paying $75–$85/hour. Requires 4–7+ years of experience, advanced SQL skills, Azure data services expertise, and a focus on data integrity and stabilization.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
680
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🗓️ - Date
March 19, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
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📍 - Location detailed
Greater Cleveland
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🧠 - Skills detailed
#AI (Artificial Intelligence) #Azure #ADF (Azure Data Factory) #Data Engineering #Data Integrity #SQL (Structured Query Language) #Azure SQL #Data Quality #Azure Data Factory #Data Reconciliation #Debugging #Data Analysis
Role description
Title: Senior Data Engineer
Location: Cleveland, OH (Hybrid Schedule)
Employment Type: Contract
Pay Rate: $75–$85/hour (~$150k - $170k)
We are seeking a Lead Data Engineer to support data stabilization with a large enterprise client.
The Ideal Candidate Will Have:
• Demonstrated success resolving data integrity issues directly within production environments
• Advanced SQL expertise with strong troubleshooting, investigative, and debugging capabilities
• Experience working across enterprise data platforms and navigating complex, multi-system data flows
• Hands-on background with Azure data services, including Azure SQL, Data Factory, or similar tools
• 4–7+ years of experience in senior-level data engineering, data analysis, or database development roles
• Ability to excel in fast-paced remediation or stabilization efforts with minimal ramp-up time
Keywords: Senior Data Engineer, Lead Data Engineer, Data Remediation, Data Quality, SQL, Data Reconciliation, Data Integrity, Root Cause Analysis, Azure SQL, Azure Data Factory, Production Data, AI-Assisted Analytics, Enterprise Data Platforms, Data Stabilization
Title: Senior Data Engineer
Location: Cleveland, OH (Hybrid Schedule)
Employment Type: Contract
Pay Rate: $75–$85/hour (~$150k - $170k)
We are seeking a Lead Data Engineer to support data stabilization with a large enterprise client.
The Ideal Candidate Will Have:
• Demonstrated success resolving data integrity issues directly within production environments
• Advanced SQL expertise with strong troubleshooting, investigative, and debugging capabilities
• Experience working across enterprise data platforms and navigating complex, multi-system data flows
• Hands-on background with Azure data services, including Azure SQL, Data Factory, or similar tools
• 4–7+ years of experience in senior-level data engineering, data analysis, or database development roles
• Ability to excel in fast-paced remediation or stabilization efforts with minimal ramp-up time
Keywords: Senior Data Engineer, Lead Data Engineer, Data Remediation, Data Quality, SQL, Data Reconciliation, Data Integrity, Root Cause Analysis, Azure SQL, Azure Data Factory, Production Data, AI-Assisted Analytics, Enterprise Data Platforms, Data Stabilization
