Data Quality Engineer: ETL Testing & Data Integrity

Amida Technology Solutions, Inc.; United States; Hybrid; USD 110,000 - 150,000; Full time

Benefits offered by this job

401(k) match

4 weeks PTO

Medical insurance

Dental insurance

Tuition/training assistance

Job summary

Amida Technology Solutions, Inc. is seeking a QE Data Quality Engineer to own data integrity across test environments and analytics platforms.

This role requires 3-4 days per week on-site at a client site in downtown Dallas, TX, and will report to the Program Manager. You will design test data sets, implement masking, validate ETL/ELT pipelines, build reusable QA frameworks, and monitor data quality metrics while collaborating with engineers, DBAs, and product owners to ensure reliable data

Qualifications

• Bachelor's degree in computer science, engineering, or related discipline.
• 3+ years in test data management, data masking, and DB validation.
• 2+ years validating data pipelines and reporting with Snowflake/Power BI.
• Experience with relational DB design, indexes, constraints.
• Proven ownership of test data strategy and environment governance.

Responsibilities

• Design, build, and maintain test data sets with edge cases and referential integrity.
• Implement data masking, subsetting, and synthetic data generation for non-production environments.
• Validate ETL/ELT pipelines end-to-end and isolate defects to stages.
• Build reusable data quality frameworks and integrate into CI/CD pipelines.
• Define and track data quality metrics and report trends to stakeholders.
• Collaborate with developers, DBAs, data engineers, and product owners on data requirements.

Skills

Advanced SQL

Jira/Xray

Confluence

GitHub Actions

Azure DevOps

Python

CI/CD

Data masking

Privacy regulations

Education

Bachelor's degree in CS/Engineering

Tools

Snowflake

Power BI

PostgreSQL/SQL Server

Job description

Amida Technology Solutions, Inc. is seeking a QE Data Quality Engineer to own data integrity across test environments and analytics platforms.

This role requires 3-4 days per week on-site at a client site in downtown Dallas, TX, and will report to the Program Manager. You will design test data sets, implement masking, validate ETL/ELT pipelines, build reusable QA frameworks, and monitor data quality metrics while collaborating with engineers, DBAs, and product owners to ensure reliable data