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System Test Engineer – Data Analytics & Platform Testing - Onsite

00068832051

*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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About us
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, building the bridge 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, realize tangible returns and keep global enterprises ahead in a fast-changing world. See how at www.cognizant.com 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.

If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

Benefits that help you thrive and grow

Our benefits program is built with you in mind—so you can enjoy a fulfilling, balanced and healthy life.

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Financial wellbeing

We regularly review market data to ensure compensation reflects the value you bring. Your benefits extend beyond pay and may include retirement plans, financial education, etc.

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Physical and mental health

We empower you to prioritize your wellbeing through paid time off, flexible working where possible, healthcare plans, counselling, our Mental Health Allyship program and more. 

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Your career, your way

With 350,000+ roles at Cognizant, you’ll have opportunities explore new technologies, industries and locations—and build the skills you need to grow your career.

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Real-world impact

Think about the biggest brands you rely on. Chances are, they rely on us to help strengthen their business. Here, you’ll turn bold ideas into solutions that improve lives everywhere.

Your path to Cognizant

Here’s what you can expect from our hiring process. Please keep in mind that it may vary by role and location. Explore our FAQs to learn more.

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Step 1: Apply to the right opportunity

Find an open role that matches your skills and career goals and show us why you’re the person for the job. Don’t see the right opportunity? Consider joining our Talent Community.

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Step 2: Connect with your recruiter

If one of our recruiters sees a fit, they’ll set up a short intro call to learn more about you and how your experiences and skills match the role.

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Step 3: Show off your skills

If you and our team would like to continue the process, you’ll interview with our hiring team. Some roles may also require technical assessments and/or client interviews.

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Step 4: Decision time

Our team will then review each candidates’ potential to succeed in the role. This step may take some time because we want to find the right fit for both you and us—but you can count on us to keep you updated.

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