Software Engineer, QA [T500-30619]

Talent500 is hiring for one of its clients.

About Five Below:

At Five Below, our growth is powered by the people who embrace our purpose and by a retail model that brings trend-right value to customers in every market we serve.

We are a fast-growing retailer with more than 2,000 stores, along with a digital presence through our website and mobile app.

It all starts with our purpose and then, The Five Below Way, which is our values and behaviors that each and every associate believes in.

It's all about culture at Five Below, making this a place that can inspire you as much as you inspire us with big ideas, super energy, passion, and the ability to make the workplace a WOW place!

Job Summary:

We are looking for a detail-oriented QA Engineer with 3–5 years of experience in Databricks + Web + Mobile App Testing + Retail Apps, and expertise in Playwright automation. The ideal candidate should have hands-on experience validating Databricks data pipelines, Business Intelligence reports (Power BI), along with end-to-end testing in Retail domain applications.

Key Responsibilities:

• Design, develop, and execute

  test cases

  for Databricks pipelines, ETL workflows, and BI reports
• Validate

  Databricks pipelines, ETL workflows, data quality checks, and BI reports using tools like Power BI

  (data reconciliation, aggregations, filters)
• Perform

  end-to-end testing

  across Retail business flows
• Develop and maintain

  automation scripts using JavaScript/Python/Java

• Collaborate with cross-functional teams (Dev, Data Engineering, Product, Infra, etc.)
• Track and manage defects using tools like

  Jira/Xray

• Participate in

  test planning, regression cycles, and release validations

• Ensure

  test coverage, quality metrics, and reporting

Required Skills:

• Experience in

  Databricks / Data testing (SQL, ETL validation)

• Strong experience in

  Business Intelligence (BI) report validation using Power BI or similar tools

• Strong knowledge of

  SQL queries and database validation

• Experience with

  PySpark

  to validate large datasets Databricks
• Experience in

  API testing (Postman/REST tools)

• Familiarity with

  CI/CD pipelines

• Strong understanding of

  STLC and Agile methodologies

• Strong experience in Retail domain applications
• Strong experience to

  BI tools such as Power BI, Tableau for dashboard testing and validation

• Test Kafka-based streaming pipelines, validating message ingestion, topic partitioning, data transformations, and downstream consumption.

Preferred Skills:

• Experience in

  Retail/Supply Chain domain (WMS, OMS, TMS, RMS, etc.)

• Exposure to

  cloud platforms (Azure)

• Familiarity with

  tools like Airflow, Databricks workflows

• Knowledge of

  Python or JavaScript for automation

• Experience with

  data validation tools and big data testing

• Experience working with

  large-scale data pipelines

• Exposure to

  performance testing tools

• Hands-on experience with

  Playwright Automation framework

Soft Skills:

• Strong analytical and problem-solving skills
• Good communication and collaboration
• Ability to work in a fast-paced Agile environment