Data Quality Engineer: AI-Driven Validation & ETL Pipelines

Kemper; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Kemper is seeking a data-focused engineer to build automated testing frameworks and validation pipelines across Snowflake, Oracle, and AWS. The role emphasizes ensuring data quality through rigorous profiling, validation, and reconciliation processes.

Ideal candidates will have 6+ years in data engineering or database development, with strong SQL and Python skills and familiarity with AI-assisted test development and governance practices. Kemper values diversity and personal development.

Qualifications

• 6+ years of experience in data engineering, data testing, or database development.
• Strong expertise in SQL, automated testing, ETL/ELT validation, and cloud data platforms.
• Familiarity with AI-assisted test development, data governance, and compliance.

Responsibilities

• Build and optimize automated data testing frameworks and validation pipelines.
• Develop data validation routines, reconciliation processes, and data profiling for completeness and accuracy.
• Embed testing and quality controls into ETL/ELT and CI/CD across Snowflake, Oracle, and AWS.

Skills

SQL

Automated testing

ETL/ELT validation

Python

CI/CD

Tools

Informatica

IICS

Snowflake

Oracle

AWS

CI/CD tooling

Job description

Kemper is seeking a data-focused engineer to build automated testing frameworks and validation pipelines across Snowflake, Oracle, and AWS. The role emphasizes ensuring data quality through rigorous profiling, validation, and reconciliation processes.

Ideal candidates will have 6+ years in data engineering or database development, with strong SQL and Python skills and familiarity with AI-assisted test development and governance practices. Kemper values diversity and personal development.