Data Quality Engineer (Databricks & dbt)
About the role
We are seeking a Data Quality Engineer to ensure the accuracy, consistency, and reliability of enterprise data platforms. The ideal candidate will design and automate data quality testing frameworks using dbt, Python, and Databricks while integrating quality controls into CI/CD pipelines through Azure DevOps. This role will partner closely with data engineers, analysts, and business stakeholders to identify and resolve data issues, monitor key quality metrics, and drive continuous improvements across the data ecosystem. Strong experience in data validation, test automation, and modern cloud-based data platforms is essential.
In this role, you will:
- esign, build, and maintain automated data quality tests in dbt (schema tests, custom generic tests, singular tests, source freshness checks).
- Develop Python-based validation frameworks and scripts for data reconciliation, schema drift detection, and regression testing.
- Validate data pipelines and transformations in Databricks (PySpark/SQL, Delta Lake), covering source-to-target mapping, row counts, aggregations, and business rules.
- Integrate data quality gates into Azure Pipelines, so builds and releases are blocked when tests fail.
- Define, monitor, and report on data quality metrics (completeness, accuracy, consistency, timeliness, uniqueness), and set up alerting for anomalies.
- Triage and root-cause data defects with data engineers, analysts, and product owners, and track them through to resolution.
- Write and maintain test plans, test cases, and data quality documentation.
- Contribute to data governance and quality standards, including data contracts and lineage awareness.
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 USA. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
What you need to have to be considered
- 5+ years in QA, data testing, or data engineering roles with a focus on data validation.
- Hands-on experience with dbt (Core or Cloud): tests, macros, models, documentation.
- Strong Python skills (pandas, PySpark, pytest) for test automation.
- Practical experience with Databricks: notebooks, jobs, Delta tables, Unity Catalog.
- Experience building and maintaining Azure Pipelines (Azure DevOps) for CI/CD.
- Solid understanding of data quality concepts, dimensions, and frameworks.
- Experience with Git and version-controlled development workflows.
- Experience in using GitHub copilot
Salary and Other Compensation
Applications will be accepted until December 3, 2026.
The annual salary for this position is between $70,000 - $117,000 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.
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 law.
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。
