Quality Engineer - BDD Implementation (Data Ingestion & Pipeline)

Role : Quality Engineer – BDD Implementation (Data Ingestion & Pipeline)

Location : New York , NY/ Fort Mill SC (2-3 days hybrid)

Job Description

We are seeking a skilled Quality Engineer with hands-on experience in Behavior-Driven

Development (BDD) to ensure the quality and reliability of our data ingestion and

pipeline solutions. The ideal candidate will collaborate with cross-functional teams to

define, implement, and automate BDD test scenarios for complex data workflows.

Responsibilities

 Collaborate with product owners, data engineers, and business analysts to define

acceptance criteria and BDD scenarios for data ingestion and pipeline

processes.

 Design, develop, and maintain automated BDD test suites using frameworks

such as Behave, Cucumber, pytest-bdd and Playwright for Ui validations.

 Validate data integrity, transformation logic, and end-to-end data flow from source

to target systems.

 Identify, document, and track defects; work with development teams to resolve

issues.

 Integrate automated tests into CI/CD pipelines for continuous quality assurance.

 Analyze test results, generate reports, and communicate findings to

stakeholders.

 Contribute to test data management and environment setup for data pipeline

testing.

 Stay current with industry best practices in data quality, test automation, and

BDD methodologies.

Required Skills & Qualifications

 Bachelor’s degree in Computer Science, Engineering, or related field.

 5+ years of experience in software quality assurance or test automation,

preferably in data engineering environments.

 Strong experience with BDD frameworks (Behave, Cucumber, pytest-bdd,

Playwright) and Gherkin syntax.

 Experience with Implementing Test Runners such as TestNG, Selenium

WebDriver to run tests and document reporting and results.

 Proficiency in Python, Java or another programming language used for test

automation.

 Solid understanding of ETL/ELT processes, data ingestion, and data pipeline

architectures.

 Experience testing data transformations, data quality, and data integrity.

 Familiarity with relational databases (SQL), data warehouses, and cloud data

platforms (e.g., AWS Glue) and Snowflake.

 Experience with CI/CD tools (e.g., Jenkins, GitHub Actions).

 Excellent analytical, problem-solving, and communication skills.

Preferred Skills

 Knowledge of data governance and data privacy best practices.

 Exposure to containerization (Docker, Kubernetes) and infrastructure as code.

Pay: $65.00 - $70.00 per hour

Work Location: In person