Remote QA Automation Lead: Data Pipelines & AI

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

Benefits offered by this job

Fully remote

Relocation assistance

Flexible schedules

Bonuses

Job summary

Codeminders seeks a hands-on QA Automation Lead to own data quality and automation for a long-term US client project. You will define the data testing strategy, build scalable automation frameworks, test backend systems and data pipelines, and validate data with SQL to ensure reliable ETL/ELT processes.

You will integrate tests into CI/CD and drive QA standards across releases. Ideal candidates have 7+ years in QA, strong Python/SQL, experience with data warehouses (Redshift/Snowflake/BigQuery),

Qualifications

• 7+ years in QA and test automation.
• Candidates should currently reside in Europe or be willing and able to relocate to Europe.
• Strong Python and SQL skills.
• Experience with data pipelines, ETL/ELT, data warehouses, and OLAP.
• Experience with Redshift, Snowflake, BigQuery, or similar technologies.
• Proven experience designing automation frameworks.
• Experience with CI/CD and release management.
• Practical experience with AI tools such as Cursor, Augment, or Gemini.
• Strong English communication skills.

Responsibilities

• Define the data testing and automation strategy.
• Build and maintain scalable automation frameworks.
• Test backend systems, data pipelines, ETL/ELT processes, and data transformations.
• Validate data using complex SQL queries.
• Integrate automated testing into CI/CD pipelines.
• Establish QA standards and review practices.
• Manage release readiness and Go/No-Go decisions.
• Use AI tools and LLMs to accelerate test creation and debugging.

Skills

Python

SQL

Data pipelines

ETL/ELT

CI/CD

Release management

AI tools

English communication

Tools

Redshift

Snowflake

BigQuery

Job description

Codeminders seeks a hands-on QA Automation Lead to own data quality and automation for a long-term US client project. You will define the data testing strategy, build scalable automation frameworks, test backend systems and data pipelines, and validate data with SQL to ensure reliable ETL/ELT processes.

You will integrate tests into CI/CD and drive QA standards across releases. Ideal candidates have 7+ years in QA, strong Python/SQL, experience with data warehouses (Redshift/Snowflake/BigQuery),