Senior Data QA Engineer — Remote, Flexible Hours & Growth

BairesDev; Sucre; Remote; COP 291,309,000 - 420,780,000; Full time

Benefits offered by this job

100% remote

Competitive USD or local currency pay

Hardware provided

Flexible hours

Paid parental leave & holidays

Mentorship & growth opportunities

Job summary

BairesDev is seeking a Senior Data QA Engineer to validate data quality across ingestion, transformation, and search pipelines. You will assess data accuracy in unstructured sources becoming structured, and ensure search results reflect correct data behavior.

You will leverage SQL, ETL and API testing skills, validate multi-source inputs such as email/calendar scraping, and perform exploratory and functional QA across end-to-end workflows in a fully remote environment, collaborating with a

Qualifications

• 5+ years of experience in QA engineering.
• Strong experience with SQL data quality and validation.
• ETL and data validation testing, including unstructured to structured data flows.
• API testing using REST and tools such as Postman or Swagger.
• Ingestion validation from multi-source inputs (e.g., email, calendar).
• Testing stored procedures and queries affecting search.
• Exploratory and functional QA across end-to-end workflows.
• 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

ETL testing

API testing (REST)

Data ingestion validation

Stored procedures testing

End-to-end QA

English proficiency

Tools

Postman

Swagger

Job description

BairesDev is seeking a Senior Data QA Engineer to validate data quality across ingestion, transformation, and search pipelines. You will assess data accuracy in unstructured sources becoming structured, and ensure search results reflect correct data behavior.

You will leverage SQL, ETL and API testing skills, validate multi-source inputs such as email/calendar scraping, and perform exploratory and functional QA across end-to-end workflows in a fully remote environment, collaborating with a