Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process outsourcing services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.). Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 1000, and the Fortune 500 and we are among the top performing and fastest growing companies in the world.
This role does not support visa-dependent candidates, either now or in the foreseeable future.
Full time
Hybrid model
Washington, DC
Job Summary
Background and Context
The Data Engineer in this role will support programs involving one or more of the following:
· Responsible for independently verifying that data transformations match business requirements, historical data is accurately archived, and the overall system is free of data defects prior to production go-live.
2. Scope of Work
2.1 Pipeline Development and Implementation
· Review STTMs, Data Quality Rulebooks, and business requirements to develop comprehensive test plans and edge cases.
· Design automated test scripts for data pipelines and migration loads.
2.2 Solution Design and Optimization
· Execute complex SQL queries to compare legacy source data against AWS/Azure target data to ensure 100% schema and value alignment.
· Validate the successful application of data masking, PII encryption, and RBAC rules.
· Test the rollback protocols and data refresh mechanisms.
2.3 Stakeholder Engagement and Change Management
· Coordinate closely with the Business Analyst to plan and execute User Acceptance Testing (UAT) cycles.
· Assist WBG business users during UAT by explaining testing dashboards, reports, and how to verify data set
· Participate in triage meetings with developers to prioritize defect
2.4 Governance, Ethics, and Risk
· Log, track, and manage data defects in Jira/Azure DevOps, tracing them back to specific pipeline code or mapping errors.
· Validate that read-only archives comply with WBG immutability requirements.
2.5 Documentation and Reporting
· Generate formal pre-migration and post-migration reconciliation reports.
· Document test execution results to serve as official audit artifacts for the World Bank Group compliance teams..
3. Required Qualifications and Experience
3.1 Education
· Bachelor’s or Master’s in Computer Science, Data Engineering, or a related quantitative field.
3.2 Certifications (Preferred)
· STQB Certification or equivalent QA credentials.
3.3 Mandatory Experience
· 3-5 years as a QA Analyst or Data Tester, specifically focused on data warehouses, complex ETL pipelines, or massive data migrations.
3.4 Technical Knowledge
· Advanced to Expert SQL is mandatory.
· Experience with automated data testing frameworks (e.g., dbt tests, Great Expectations) and bug tracking tools.
3.5 Core Competencies
· Highly analytical mindset, uncompromising stance on data quality, and the ability to systematically investigate root causes of data discrepancies.
Roles and Responsibilities
Application Accepted: 7/30/2026
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
Medical/Dental/Vision/Life Insurance
· Paid holidays plus Paid Time Off
· 401(k) plan and contributions
· Long-term/Short-term Disability
· Paid Parental Leave
· Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable la
Our strength is built on our ability to work together. Our diverse backgrounds offer different perspectives and new ways of thinking. It encourages lively discussions, creativity, productivity, and helps us build better solutions for our clients. We want someone who thrives in this setting and is inspired to craft meaningful solutions through true collaboration.
If you are content with ambiguity, excited by change, and excel through autonomy, we’d love to hear from you!
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
