Working hours: 7 AM - 4 PM - Brazilian timezone

Days of work: Monday - Friday

Employment type: Contractor - indefinite

About the Role:

We are seeking a Senior QA Engineer to own quality for our Data Platform and Analytics & Reporting products. This role is focused on ensuring the correctness of the pipelines, warehouse models, and reports that power our analytics products.

Unlike traditional QA positions, this role is data-first. Most of what we build has little or no user interface. A report is either correct or it isn't—a passing UI test does not guarantee that the numbers behind it are accurate.

Success in this role requires someone who enjoys investigating data, writing SQL, validating metrics against raw source data, and working closely with engineering to identify and prevent defects before they reach customers.

Experience with API testing and automation frameworks such as Playwright is valuable, but the primary focus is data quality and backend validation.

Key Responsibilities:

Data Correctness
Validate reports, dashboards,



and aggregated metrics before they reach customers.
Reconcile reporting data against upstream APIs and raw source data.
Independently verify calculations rather than relying on downstream reports.
Clarify and document business metric definitions when they are ambiguous.
Data Quality Automation
Design and implement automated data quality checks using Soda or similar expectation frameworks.
Validate data freshness, volume, distribution, and business expectations.
Contribute quality checks into data contracts and production monitoring.
Pipeline & Platform Testing
Test Airflow DAGs and Databricks jobs.
Validate scheduling, dependencies, backfills, failure recovery, and data integrity throughout the pipeline.
API Testing
Develop automated and manual tests for REST and GraphQL APIs.
Validate business logic, data integrity, and service reliability.
Test Automation
Build and maintain automated quality checks with a focus on data validatio

📌 Senior QA Engineer — Data Platform (Argentina)
🏢 Uberall
📍 Argentina