*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
About Us:
Cognizant is one of the world's leading professional services companies, transforming clients' business, operating, and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build, and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant, a member of the NASDAQ-100, is ranked 195 on the Fortune 500 and is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com.
About Cognizant’s IoT Practice:
Intelligent, IoT-enabled products will soon result in the proliferation of data and disrupt virtually all industries. To be successful, both large and small companies must leverage IoT capabilities by designing modern products that fundamentally connect people with processes. Within Cognizant IOT, we engineer industry-aligned, IoT-enabled products that merge industry needs with human drivers. Our intelligent products will revolutionize experiences and result in exciting, transformative outcomes. Without human-centered thinking, connected products are just standalone things—but with it, our modern connected products facilitate a unified way of life enjoyed by all.
Job Summary
We are seeking a skilled System Test Engineer with strong experience in data analytics, Databricks, and CI/CD pipelines to ensure the quality, reliability, and performance of complex data systems. The ideal candidate will focus on end-to-end system testing of data platforms, validating data flows, integrations, and business logic across scalable environments.
This role combines system-level testing expertise with data engineering and DevOps practices to support advanced analytics and big data ecosystems.
Key Responsibilities
System & Integration Testing
- Design and execute system-level test strategies for data platforms and distributed systems.
- Perform end-to-end testing of data pipelines, including ingestion, transformation, and reporting layers.
- Validate system behavior across multiple integrated components and services.
- Ensure system stability, scalability, and performance under varying workloads.
Data Analytics & Validation
- Perform data validation, reconciliation, and consistency checks using SQL, Python, or Spark.
- Validate complex data transformations, aggregations, and KPIs used in analytics dashboards.
- Conduct data profiling and anomaly detection to ensure accuracy and completeness.
- Support business teams by verifying data quality and reporting accuracy.
Databricks & Big Data Testing
- Test workflows built on Databricks, Apache Spark, and Delta Lake.
- Validate batch and real-time data processing pipelines in distributed environments.
- Ensure correctness and performance of large-scale data processing jobs.
- Work with data engineering teams to troubleshoot and optimize data workflows.
CI/CD & Test Automation
- Integrate system tests into CI/CD pipelines using tools like Azure DevOps, Jenkins, or GitHub Actions.
- Develop and maintain automated test suites for regression, integration, and system validation.
- Enable continuous testing practices within DevOps pipelines.
- Monitor pipeline execution and ensure high test coverage.
Performance & Reliability Testing
- Conduct performance, load, and stress testing of data platforms.
- Identify system bottlenecks and recommend performance improvements.
- Ensure high availability and resilience of data systems.
Collaboration & Quality Practices
- Collaborate with data engineers, developers, and product teams to define testing strategies.
- Participate in system design discussions to ensure testability and quality.
- Maintain test documentation, reports, and metrics.
- Drive adoption of best practices in system testing and QA processes.
Required Qualifications
- Bachelor’s degree in Computer Science, Engineering, or related field.
- 4+ years of experience in System Testing, QA Engineering, or Software Testing.
- Strong experience with data systems, ETL testing, and data validation.
- Hands-on experience with Databricks, Apache Spark, or big data frameworks.
- Proficiency in SQL and at least one programming language (Python, Java, or Scala).
- Experience with CI/CD tools (Azure DevOps, Jenkins, GitLab, etc.).
- Understanding of test automation frameworks and system-level validation.
- Experience with cloud platforms (Azure, AWS, or GCP).
Compensation: - $70,000 to $100,000 + COLA and 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. Application will be accepted by 6/28/2026
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
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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。
