Data Engineer

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. 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 EDGE 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.

“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”