Senior Data QA Engineer - Remote, Flexible Hours, SQL/ETL

BairesDev; United States; Remote; MXN 1,304,000 - 2,048,000; Full time

Benefits offered by this job

100% remote work (from anywhere)

Excellent USD compensation

Hardware & software setup for home

Flexible hours

Parental leave and holidays

Job summary

BairesDev is seeking a Senior Data QA Engineer to ensure data quality across ingestion and search pipelines. You will validate data from unstructured sources into structured systems, test APIs, and engage in end-to-end QA across ingestion, transformation, and search workflows.

The role requires deep SQL expertise, experience with ETL and data validation, and API testing using REST tools like Postman or Swagger. This is a 100% remote position with global collaboration.

Qualifications

• 5+ years of experience in QA engineering.
• Strong experience with SQL data quality and validation.
• Experience with ETL and data validation testing (unstructured to structured).
• Experience with API testing using REST and tools like Postman or Swagger.
• Experience validating data ingestion from multi-source inputs (e.g., email/calendar).
• Experience testing stored procedures and queries that impact search behavior.
• Advanced proficiency in English.

Responsibilities

• Validate SQL data quality across ingestion, transformation, and search pipelines.
• Test ETL processes, verifying data integrity from unstructured to structured formats.
• Test APIs using REST and tools such as Postman or Swagger.
• Validate data ingestion from multi-source inputs, including email and calendar scraping.
• Test stored procedures and queries that impact search behavior.
• Conduct exploratory and functional QA across end-to-end workflows.

Skills

QA engineering

SQL data quality

API testing

ETL testing

Exploratory QA

English proficiency

Tools

Postman

Swagger

Azure Cloud

Job description

BairesDev is seeking a Senior Data QA Engineer to ensure data quality across ingestion and search pipelines. You will validate data from unstructured sources into structured systems, test APIs, and engage in end-to-end QA across ingestion, transformation, and search workflows.

The role requires deep SQL expertise, experience with ETL and data validation, and API testing using REST tools like Postman or Swagger. This is a 100% remote position with global collaboration.