ETL Testing Lead/Data Analysis Specialist

About the Position

ETL Testing Lead/Data Analysis Specialist

發佈日期 8月 13 2026

位置 New York, NY-550 W 34th St / United States

工作類別 Digital

工作模式 Work from Home

About Cognizant

高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。

Role Overview

Cognizant is seeking an experienced ETL Testing Lead / Data Analysis Specialist to join our Quality Engineering and Assurance team. This role is responsible for leading data validation initiatives, ensuring data quality, and supporting enterprise data transformation programs within complex cloud and data warehouse environments.

The ideal candidate will possess strong expertise in ETL testing, data quality engineering, and data analysis, with hands-on experience validating large-scale data pipelines and cloud-based data platforms. This individual will collaborate closely with business stakeholders, developers, architects, and quality engineering teams to ensure high-quality, reliable, and accurate data solutions.

Healthcare industry experience is required for this role.

Work Model

This position is fully remote within the United States, offering flexibility while collaborating with cross-functional teams across multiple locations and time zones.

Key Responsibilities

ETL Testing & Data Validation

• Lead end-to-end ETL testing activities across enterprise data integration programs.
• Validate source-to-target data mappings and transformation logic across complex data platforms.
• Design, develop, and execute ETL test strategies, test cases, test scripts, and validation processes.
• Verify data movement, transformation accuracy, completeness, and consistency across systems.
• Conduct regression, integration, system, and user acceptance testing for data initiatives.
• Identify, document, track, and resolve data-related defects and production issues.

Data Analysis & Quality Engineering

• Analyze large and complex datasets to identify trends, anomalies, patterns, and business insights.
• Perform data profiling, data reconciliation, and root cause analysis to support quality initiatives.
• Validate business rules and data transformation requirements to ensure accurate processing.
• Drive data quality improvements and support enterprise data governance initiatives.
• Execute data cleansing and validation activities to improve data integrity and accuracy.
• Collaborate with stakeholders to define and implement data quality standards and metrics.

SQL Development & Query Analysis

• Develop, optimize, and maintain complex SQL queries for testing and analysis activities.
• Create data validation scripts and automated validation processes where appropriate.
• Support ongoing analysis of data quality issues and performance optimization opportunities.
• Conduct source-to-target reconciliations across multiple databases and cloud environments.

Cloud & Data Platform Testing

• Validate data pipelines and workflows across cloud-based architectures.
• Support testing activities involving AWS services and enterprise data platforms.
• Verify data integrations between cloud systems, APIs, and downstream applications.
• Monitor and assess data movement processes to ensure operational stability.

Stakeholder Collaboration

• Work closely with business analysts, data engineers, developers, architects, and product owners.
• Participate in requirements reviews and contribute to test strategy development.
• Provide testing status updates, risk assessments, and quality metrics to project stakeholders.
• Support defect triage sessions and help drive issue resolution efforts.

Continuous Improvement

• Recommend improvements to ETL testing processes, automation approaches, and quality assurance practices.
• Identify opportunities to increase testing efficiency and improve data quality outcomes.
• Mentor junior team members on data validation, ETL testing, and quality engineering best practices.
• Contribute to the development of reusable testing frameworks and accelerators.

Required Qualifications

• Bachelor's degree in Computer Science, Information Systems, Engineering, Data Analytics, or a related field, or equivalent work experience.
• 10+ years of experience in:
  • ETL Testing
  • Data Testing
  • Data Quality Validation
  • Data Analysis
• Strong hands-on experience with:
  • SQL
  • ICEDQ
  • AWS S3
  • BMC
  • Informatica CDI-PC
  • Informatica Intelligent Cloud Services (IICS)
  • PySpark
  • API Testing
  • Postman
  • SAS
  • AWS Athena
  • Apache Airflow
  • AWS CloudWatch
• Strong experience performing source-to-target data validation and reconciliation.
• Expertise in data quality engineering and data management best practices.
• Strong analytical, troubleshooting, and problem-solving capabilities.
• Excellent verbal and written communication skills.
• Experience working in Agile delivery environments.
• Healthcare industry experience.

Preferred Qualifications

• Experience with cloud-based data lakes and modern data warehouse architectures.
• Knowledge of data governance and master data management concepts.
• Experience with test automation frameworks for data validation.
• Familiarity with healthcare data standards and regulatory requirements.
• Exposure to big data technologies and distributed data processing frameworks.
• Experience working in large-scale enterprise data transformation programs.

Domain Expertise

Candidates should demonstrate experience in:

• ETL Testing
• Data Quality Engineering
• Data Management
• Data Validation and Reconciliation
• Data Warehousing
• Cloud Data Platforms
• API Testing
• Healthcare Data Ecosystems
• Enterprise Reporting and Analytics
• Quality Engineering Best Practices

Salary and Other Compensation

The annual salary for this position is anticipated to be between $115,000 and $120,000 USD, depending on experience, qualifications, geographic location, skills, and other factors permitted by law.

In addition to base salary, this position may be eligible for:

• Annual performance-based bonus
• Merit-based compensation increases
• Employee referral bonuses, where applicable

The compensation information provided is accurate as of the date of this posting. Cognizant reserves the right to modify compensation information based on business needs and applicable laws.

Benefits

Cognizant offers a comprehensive benefits package, including:

• Medical, Dental, and Vision Insurance
• Health Savings Account (HSA) and Flexible Spending Accounts (FSA)
• Life Insurance and AD&D Coverage
• Short-Term and Long-Term Disability Insurance
• Paid Time Off (PTO) and Company Holidays
• 401(k) Plan with Company Contributions (subject to eligibility)
• Employee Stock Purchase Plan (where available)
• Employee Assistance Program (EAP)
• Parental Leave and Family Care Benefits
• Tuition Reimbursement and Professional Development Programs
• Access to Learning, Certification, and Career Development Opportunities

Benefits are subject to eligibility requirements and plan terms.

Why Cognizant

• Work on large-scale data modernization and cloud transformation initiatives.
• Collaborate with leading healthcare and enterprise clients.
• Gain exposure to cutting-edge data platforms, ETL technologies, and cloud ecosystems.
• Be part of a highly collaborative and innovative data engineering and quality assurance organization.
• Access continuous learning, certifications, and career advancement opportunities.
• Join a global organization committed to creating business value through data and technology.

Equal Opportunity Employer

Cognizant is an equal opportunity employer. We are committed to fostering an inclusive workplace where all associates feel valued, respected, and empowered to contribute their unique perspectives. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, or any other characteristic protected by applicable law.

Applications will be accepted until the position is filled.

---

关于高知特 (Cognizant)

高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。

补充雇佣信息

薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。

申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。

Cognizant 是一家提供平等就业机会的雇主。在招聘过程中，您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。

帮助您蓬勃发展与成长的福利

我们的福利计划以您为中心打造--帮助您享受充实、平衡且健康的生活。

财务健康

我们会定期审查市场数据，确保薪酬体现您所带来的价值。您的福利不仅限于薪资，还可能包括退休计划、财务教育等。

身心健康

我们通过带薪休假、在条件允许下的灵活工作安排、医疗保障计划、心理咨询、心理健康盟友计划等，赋能您将身心健康放在首位。

您的职业发展，由您做主

在 Cognizant 提供的 35 万多个岗位中，您将有机会探索新的技术、行业和工作地点，并打造推动职业发展的关键技能。

现实世界的影响力

想想您所依赖的那些知名品牌。很可能，他们也依赖我们来帮助强化其业务。在这里，您将把大胆的想法转化为改善全球生活的解决方案。

通往 Cognizant 的职业之路

以下是您在招聘流程中可以期待的内容。请注意，具体流程可能因岗位和工作地点而有所不同。欢迎查看我们的常见问题解答以了解更多信息。

第 1 步：申请合适的职位机会

寻找一个与您的技能和职业目标相匹配的空缺职位，并向我们展示您为何是最佳人选。没有看到合适的机会？欢迎加入我们的人才社区。

第 2 步：与您的招聘人员取得联系

如果我们的招聘人员认为您符合条件，他们将安排一次简短的介绍电话，进一步了解您，以及您的经验和技能如何与该岗位相匹配。

第 3 步：展示您的技能

如果您和我们的团队都希望继续推进招聘流程，您将与我们的招聘团队进行面试。部分岗位还可能需要参加技术评估和／或客户面试。

第 4 步：做出决定

随后，我们的团队将评估每位候选人在该岗位上取得成功的潜力。由于我们希望为您和我们双方找到最合适的匹配，这一步可能需要一些时间--但请放心，我们会及时向您更新进展。

还没有找到合适的机会吗？

获取为您量身定制的最新职位机会、招聘活动和公司新闻！

掌握最新动态

We care about your privacy

Thank you, your preferences have been updated.

By clicking "Accept All", you agree to the storing of cookies on your device to give you the most optimal experience using our website. We may also use cookies to enhance performance, analyse site usage and to personalise your experience.

管理首選項