About the role
As a Lead Quality Engineer, you will make an impact by ensuring the highest standards of data quality, security, and compliance across our data engineering initiatives. You will be a valued member of the team and work collaboratively with managers, primary teams, and other stakeholders.
In this role, you will:
- Develop and document test plans and test cases based on software requirements and technical specifications.
- Understand, plan, and execute testing for data projects in the Databricks environment.
- Validate data ingestion pipelines, data transformations, and data quality, completeness, and performance.
- Create and document SQL-based test cases to verify data transformations across the Medallion Architecture.
- Develop and maintain automation scripts for repeatable regression and data validation testing.
- Validate data access controls, role-based security, and non-public information (NPI) requirements.
- Support Unity Catalog implementation, data dictionary migration, and Delta Sharing validation.
- Identify opportunities to apply the DQx framework for data quality validation and automation.
- Collaborate with Development and Product Owners to resolve quality engineering issues.
- Provide regular communication on testing status, issues, risks, deployments, and release activities.
Work model:
US Remote; Hybrid for NY/NJ candidates highly preferred.
We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a remote position open to qualified applicants in the United States. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
What you need to have to be considered
- Experience in developing and documenting test plans and test cases based on software requirements and technical specifications.
- Understanding of data projects, data ingestion pipelines, and data transformation testing in the Databricks environment.
- Designing secure, scalable, and resilient cloud data solutions using AWS and Databricks within a hybrid work model.
- Strong SQL skills for validating data transformations and documenting verification queries.
- Experience with test automation strategies, regression testing, and data quality validation.
- Knowledge of data access controls, Unity Catalog, Delta Sharing, and data governance concepts.
These will help you stand out
- Demonstrated ability to support Unity Catalog implementation, data dictionary migration, and Delta Sharing validation.
- Experience identifying and applying frameworks such as DQx for data quality validation and automation.
- Strong collaboration skills with Development and Product Owners to resolve quality engineering issues.
- Excellent communication skills for providing regular updates on testing status, issues, risks, deployments, and release activities.
We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
Applications will be accepted until 8/20/2026
Please note, this role is not able to offer visa transfer or sponsorship now or in the future.
Salary and Other Compensation
The annual salary for this position is between $71,000p.a. - $110,000p.a. depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans. 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 law.
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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。
