EY-GDS Consulting-AI And DATA-Data Engineer-Tester-Senior

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. 

Career Family

AI&D: Data Engineering & Quality Engineering – Data Platforms

Role Type

Full Time

Experience: 7-12+ years 

The Opportunity

We are seeking a highly motivated Data Engineer – Testing Specialist to join our data platform team, responsible for ensuring end-to-end quality, reliability, and performance of data workflows across the Palantir Foundry ecosystem and integrated systems.

This role sits at the intersection of data engineering and quality engineering (QE), requiring strong technical expertise in data pipelines, APIs, and UI testing frameworks, combined with a deep understanding of modern data platforms. You will work across Foundry pipelines, APIs, external integrations (e.g., TrueView), and React-based UI components, ensuring that all systems are thoroughly tested and meet enterprise-grade quality standards.

As a senior consultant, you will take ownership of testing strategy, automation frameworks, and validation processes, contributing significantly to improving platform stability, data accuracy, and overall system quality.

Your Key Responsibilities

End-to-End Testing & System Validation

• Design and execute end-to-end (E2E) testing strategies for data pipelines and applications within Foundry
• Validate complete workflows including data ingestion → transformation → output consumption
• Ensure that business logic and data flows are accurately implemented across systems
• Identify gaps in testing coverage and implement improvements

API & Integration Testing

• Perform API testing across Foundry pipelines and services, including:
  • Foundry API-based end-to-end workflows
  • Integration APIs connecting external systems
• Test external data source APIs such as TrueView, ensuring accurate data exchange and system interoperability
• Validate API responses, performance, and error handling scenarios
• Ensure smooth integration across multiple systems and applications

Data Pipeline Testing & Validation

• Validate pipelines implemented within Foundry, ensuring:
  • Correct data transformations
  • Data consistency and integrity
  • Performance under varying load conditions

• Perform unit testing for Foundry transforms and utility functions
• Develop reusable testing frameworks for validating pipeline outputs
• Ensure accurate tracking and validation of data lineage and dependencies

UI Component & Frontend Testing

• Perform component and widget testing for React-based UI applications integrated with Foundry
• Validate functionality, usability, and responsiveness of front-end components
• Ensure UI components correctly reflect backend data states
• Collaborate with frontend teams to improve test coverage and UI reliability

Automation & Quality Engineering

• Develop and maintain test automation frameworks for data and application testing
• Automate repetitive testing tasks for pipelines, APIs, and UI components
• Integrate testing with CI/CD pipelines to ensure continuous validation of code changes
• Contribute to establishing best practices for automated testing and quality assurance

Data Quality & Reliability

• Ensure high standards of data quality, consistency, and completeness across all pipelines
• Implement validation checks, anomaly detection, and error handling mechanisms
• Monitor and troubleshoot issues related to data discrepancies and pipeline failures
• Work with engineering teams to resolve defects and improve system reliability

Collaboration & Stakeholder Engagement

• Work closely with data engineers, Foundry developers, UI engineers, and product teams
• Participate in design discussions to ensure testability and quality are built into solutions
• Communicate test results, issues, and risks clearly to stakeholders
• Support Agile processes, including sprint planning, testing cycles, and releases

DevOps & Continuous Integration

• Integrate testing processes with CI/CD pipelines for automated regression and validation testing
• Support environment management and testing across DEV, TEST, and PROD environments
• Ensure proper versioning and traceability of test cases and scripts
• Contribute to improving DevOps maturity within the data engineering ecosystem

Required Skills

• Strong experience in data engineering and testing across modern data platforms
• Hands-on expertise in:
  • End-to-end testing methodologies
  • API testing (REST APIs, integration testing)

• Experience working with:
  • Palantir Foundry (pipelines, APIs, transforms)
  • External data source APIs (e.g., TrueView or similar)
• Strong programming skills in:
• Python (preferred)
• Experience with unit testing frameworks and test automation tools
• Knowledge of React UI testing (component testing, widget validation)
• Strong understanding of data pipelines, ETL processes, and distributed systems
• Ability to analyze complex systems and identify edge cases and failure points

Good to Have

• Experience with:
  • CI/CD pipelines and DevOps practices
  • Automation frameworks (e.g., Selenium, Cypress, pytest, etc.)
• Exposure to performance testing and load testing tools
• Familiarity with data validation frameworks and observability tools
• Experience working in large-scale enterprise data platforms

Preferred Qualifications

• Experience working in data platform QA or data engineering testing roles
• Exposure to Agile methodologies and product-based delivery
• Understanding of data governance, auditing, and compliance requirements
• Familiarity with version control systems (Git) and collaborative development workflows

Education

• Bachelor’s degree in Computer Science, Information Technology, Data Engineering, or related field
• Relevant certifications in testing, data engineering, or cloud technologies are a plus

What we offer

EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career.

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

EY | Building a better working world 

 
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.  

 
Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.  

 
Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.