QA Automation Engineer

Company Background

Our client is a people-first financial services company that leverages technology to help consumers overcome debt and build a stronger financial future. With over 2,000 employees across the U.S., the company is expanding through a new division focused on home mortgage solutions.

Project Description

As a QA Automation Engineer on the Data Engineering team, you’ll help ensure the services and data other teams rely on are dependable. You’ll work closely with engineers across the organization in a hands-on role that values strong automation skills, sound judgment, and a collaborative approach. The role primarily focuses on API automation, while also involving data validation, data quality testing, and end-to-end testing of data pipelines and reporting flows.

Technologies

• Java, Unirest
• JavaScript, WebdriverIO
• Maven, CircleCI
• Google Cloud Platform, Cloud Firestore, Docker, Kubernetes
• Datadog, LaunchDarkly

What You'll Do

• Build and maintain automated API tests for services owned by the Data Engineering team;
• Write SQL checks to validate data quality and transformations;
• Test data pipelines and verify data as it moves through the different layers of the data architecture;
• Check the accuracy and consistency of data used in reports and investor-facing materials;
• Support end-to-end testing across Data Engineering services;
• Identify gaps in test coverage and establish appropriate QA processes and standards;

Job Requirements

• 4+ years of software QA experience, including work with web applications, REST APIs, and/or Salesforce;
• Minimum 2 years of programming experience, including Java (must have, with Spring Boot experience preferably), JavaScript / NodeJS (very desired), Python (nice to have);
• Advanced SQL skills, including complex queries, data validation, reconciliation, and data profiling;
• Understanding of data architecture, including Medallion, and familiarity with Airflow, DAGs, data pipelines, and transformations;
• The ability to understand system architecture and infrastructure;
• Strong ownership and sense of urgency, with the ability to triage issues, adapt to changing priorities, and manage work across multiple products and projects;
• Clear communication and collaboration across teams, including facilitating constructive discussions and helping teams reach decisions;
• Ability to mentor teammates, share knowledge, delegate work, and promote accountability across the team;