Data Quality QA Engineer – ETL, SQL & Databricks

Socket.dev; Tampa (FL); On-site; USD 70,000 - 100,000; Full time

Job summary

Fintech LLC in Tampa, Florida is seeking a QA Engineer to perform manual and automated data quality testing across Oracle, Postgres, MongoDB, Databricks, and Druid pipelines. You will validate data migrations, reporting outputs, and raise findings to data engineering teams.

The role requires writing complex SQL, developing automation scripts, and designing test plans for ETL and batch jobs. Collaboration with offshore QA and multiple business teams is expected.

Qualifications

• Knowledge of software development and data quality testing.
• Strong SQL skills; Python experience; Databricks and/or Druid preferred.
• Certification related to software development or data quality/testing requested.

Responsibilities

• Perform manual and automated data testing across multiple data platforms.
• Design, develop and run automation scripts for data validation and reconciliation.
• Coordinate testing activities across ingestion, migration and reporting pipelines.

Skills

Data quality testing

SQL

Python

Education

Certification in software development or data quality/testing

Tools

Databricks

Druid

Job description

Fintech LLC in Tampa, Florida is seeking a QA Engineer to perform manual and automated data quality testing across Oracle, Postgres, MongoDB, Databricks, and Druid pipelines. You will validate data migrations, reporting outputs, and raise findings to data engineering teams.

The role requires writing complex SQL, developing automation scripts, and designing test plans for ETL and batch jobs. Collaboration with offshore QA and multiple business teams is expected.