QA Engineer

Fintech; Tampa (FL); On-site; USD 65,000 - 95,000; 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 platforms. You will validate pipelines, migrations and reporting outputs, and report findings to data engineering and development teams.

The role emphasizes designing test plans and cases for ETL and batch jobs, writing complex SQL queries, and developing automation scripts to ensure data integrity across multiple data sources.

Qualifications

• Experience in data quality testing and software development practices.
• Strong SQL skills with Python knowledge; Databricks and/or Druid preferred.
• Certification related to software development or data quality/testing is a plus.

Responsibilities

• Perform manual and automated data testing across Oracle, Postgres, MongoDB, and Databricks pipelines.
• Design, develop and execute automation scripts for data validation and reconciliation.
• Coordinate testing across ingestion, migration and reporting pipelines.
• Identify, record, document and track data quality defects.
• Write and execute complex SQL queries for large datasets.
• Design test plans, scenarios and test cases for ETL and batch jobs, including EOD processing.
• Validate Druid-backed analytics and reporting output with cross-team collaboration.
• Assist offshore QA for coverage and handoffs.

Skills

SQL

Python

Databricks

Druid

Data quality testing

Software development

Tools

Databricks

Druid

Oracle

Postgres

MongoDB

Job description

Join Fintech in Tampa, Florida as a QA Engineer!

We are looking for a QA Engineer who can perform manual and automated data quality testing across our Oracle, Postgres, MongoDB, Databricks, and Druid platforms, validating data pipelines, migrations, and reporting output, and reporting findings to the data engineering and development teams responsible for these systems.

Essential Functions

• Perform manual and automated data testing across Oracle, Postgres, MongoDB, and Databricks pipelines.
• Design, develop and execute automation scripts for data validation and reconciliation.
• Estimate, prioritize, plan and coordinate testing activities across ingestion, migration and reporting pipelines.
• Identify, record, document thoroughly and track data quality defects and discrepancies.
• Write and execute complex SQL queries to validate large, complex datasets.
• Design test plans, scenarios and test cases for ETL/data pipeline and batch job testing, including EOD processing and migration cutovers.
• Validate Druid-backed analytics and reporting output for accuracy, and work across multiple data engineering and business teams.
• Assist offshore QA

Qualifications

• Knowledge in Software Development and data quality testing.
• Strong SQL skills, with knowledge in Python; experience with Databricks and/or Druid preferred.
• Prefer certification related to software development or data quality/testing.

About Fintech

For over 35 years, Fintech LLC has redefined how over 1.1 million B2B relationships buy and sell goods and services in the retail, hospitality, and alcohol industries. This integrated platform centralizes invoice data and payments, POS and delivery data, product and cost compliance, price book management, and industry market data using AI, seamless integration capabilities, and proprietary automation technology.

Fintech is a Drug-Free Workplace. Fintech is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth and pregnancy-related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances. Fintech’s management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities, access to facilities and programs and general treatment during employment. We E-Verify.