Insight Global
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer on a 12-month contract, hybrid in Downtown Atlanta. Requires 5-10 years of data testing experience, expertise in Python, SQL, data modeling, and automation testing, with a focus on QA for AI models.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
560
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🗓️ - Date
January 14, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Atlanta, GA
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🧠 - Skills detailed
#ML (Machine Learning) #Data Engineering #Data Modeling #Monitoring #SQL (Structured Query Language) #Quality Assurance #Automation #Python #Automated Testing #Data Quality #Data Lake #AI (Artificial Intelligence)
Role description
W2 ONLY - no C2C or Sponsorship provided for this role
Title: Data Engineer
Duration: 12 month contract + extensions
Location: Hybrid – in office Monday – Thursday in Downtown Atlanta
Must Have:
• 5-10 Years Focused on testing data in a software engineering capacity. Some of that data might live in relational systems, this role focuses on monitoring data quality as it moves through a data lake.
Day to day:
This IT role requires a significant set of technical skills, including a deep knowledge of Python, SQL, data modeling, and automation testing tools. This role is specifically focusing on implementing QA testing for AI analytical models. A strong knowledge of machine learning processes and frameworks is required. As a Quality Assurance Data Engineer within the group, you will play a crucial role in ensuring the integrity, reliability, and high performance of our decision-making data platform. Your expertise will be pivotal in enforcing data quality standards, performing rigorous testing, detecting, and resolving data issues, and supporting the continuous improvement of our software development processes. With strong analytical and communication skills, this role brings attention to detail and technical expertise to the testing process, ensuring the delivery of robust and error-free data analytical solutions through both manual and automated testing. In this role, you will ensure the quality and reliability of our AI models and systems, playing a critical part in the development and improvement of our AI-driven products.
W2 ONLY - no C2C or Sponsorship provided for this role
Title: Data Engineer
Duration: 12 month contract + extensions
Location: Hybrid – in office Monday – Thursday in Downtown Atlanta
Must Have:
• 5-10 Years Focused on testing data in a software engineering capacity. Some of that data might live in relational systems, this role focuses on monitoring data quality as it moves through a data lake.
Day to day:
This IT role requires a significant set of technical skills, including a deep knowledge of Python, SQL, data modeling, and automation testing tools. This role is specifically focusing on implementing QA testing for AI analytical models. A strong knowledge of machine learning processes and frameworks is required. As a Quality Assurance Data Engineer within the group, you will play a crucial role in ensuring the integrity, reliability, and high performance of our decision-making data platform. Your expertise will be pivotal in enforcing data quality standards, performing rigorous testing, detecting, and resolving data issues, and supporting the continuous improvement of our software development processes. With strong analytical and communication skills, this role brings attention to detail and technical expertise to the testing process, ensuring the delivery of robust and error-free data analytical solutions through both manual and automated testing. In this role, you will ensure the quality and reliability of our AI models and systems, playing a critical part in the development and improvement of our AI-driven products.
