QA Automation Engineer (Consulting services)

Technologies we use

Expected

• Java
• Unreal Engine

Optional

• Unreal Engine
• WebStorm

About the project

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.

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.

This is how we organize our work

This is how we work

• at the client's site
• you focus on a single project at a time
• you can change the project
• you have influence on the technological solutions applied
• you focus on product development
• agile
• scrum

Your responsibilities

• 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;

Our 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;

Optional

• 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;

What we offer

• 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.

This is how we work on a project

• issue tracking tools

Development opportunities we offer

• space for experimenting
• substantive support from technological leaders
• technical knowledge exchange within the company

COHERENT SOLUTIONS sp. z o.o.

Coherent Solutions is a digital product engineering company focused on empowering business success. Our global team of 2000 talented professionals collaborates seamlessly to deliver innovative solutions that drive measurable business impact. Headquartered in Minneapolis, USA, the company’s core competencies across 10 locations worldwide include software product development, IT consulting, data and analytics, machine learning, mobile app development, DevOps, Salesforce, and more.

We grow a team of advisors, not just order takers, and strive to make the company a place for career growth and opportunities. If you want to grow your core competencies, share your passion, and be sure every contribution is evaluated, we are on the same page.

This is how we work