QA Data Engineer (AI)

TL;DR

QA Data Engineer (Data Quality/AI): Building and maintaining reconciliation frameworks and automated regression test suites to ensure the reliability of high-impact enterprise data pipelines with an accent on data accuracy and identity resolution. Focus on validating data pipelines across multiple domains, performing data profiling, and ensuring production readiness.

Location: Hybrid in Buenos Aires, Argentina

Company

hirify.global is a premier AI services provider focused on co-creating meaningful impact for clients through data science, AI, and technology.

What you will do

• Validate data accuracy and consistency between legacy and new systems across multiple domains.
• Build and maintain reconciliation frameworks to compare outputs between legacy and modernized data pipelines.
• Execute acceptance testing for data pipelines and validate identity resolution accuracy, including match rates.
• Develop automated regression test suites and perform data profiling to detect anomalies.
• Document data lineage and collaborate with engineering and analytics teams to ensure production readiness.

Requirements

• 3+ years of experience in Data Quality, QA, or Data Analysis roles.
• Expert-level proficiency in SQL for data validation and analysis.
• Hands-on experience with Python for data validation, automation, or analysis.
• Experience with data quality frameworks (Great Expectations preferred).
• Experience building or maintaining test automation frameworks for data pipelines.
• Must be based in or able to work hybrid in Buenos Aires, Argentina.

Nice to have

• Experience working with large-scale or distributed data platforms.
• Familiarity with modern data architectures and pipeline validation processes.
• Experience supporting production deployments and release validation processes.

Culture & Benefits

• Certifications in AWS, Databricks, and Snowflake.
• Access to AI learning paths and Udemy Business for technical and soft skills.
• Career development plans, mentorship programs, and English lessons.
• Company-provided equipment and flexible working options.
• Travel opportunities to attend industry conferences and meet clients.