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.
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;
The global benefits package includes:
- Resources and opportunities for self-education in technical and non-technical areas;
- Access to internal conferences and meetups for knowledge sharing and learning from industry experts;
- Medical insurance;
- Sports activities to promote a healthy lifestyle;
- Flexible work options, including remote and hybrid opportunities;
- Referral program for bringing in new talent.
Technologies
- Java, Unirest
- JavaScript, WebdriverIO
- Maven, CircleCI
- Google Cloud Platform, Cloud Firestore, Docker, Kubernetes
- Datadog, LaunchDarkly
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;
- Experience improving team effectiveness by establishing QA practices, coding guidelines, tools, and processes, and introducing useful technologies where appropriate;
- Availability to occasionally join meetings scheduled as late as 8–9 p.m. Poland time;
Nice To Have
- Experience with API testing tools and frameworks such as RestAssured or Unirest;
- Hands-on experience with JavaScript UI automation frameworks such as Cypress, Playwright, or WebdriverIO, or with iOS/Android automation frameworks;
- Familiarity with test management and defect tracking tools such as TestRail and Jira;
- Experience monitoring and validating systems with Datadog;
- Working knowledge of Google Cloud Platform, particularly cloud-native services;
- Bachelor degree in Computer Science, Information Systems, Engineering, or related technical discipline;
