System Test Engineer - Data Analytics & Platform Testing - Onsite

Cognizant Technology Solutions Corporation
Lake Forest, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
$ 100K

Job location

Lake Forest, United States of America

Tech stack

Testing (Software)
Java
Amazon Web Services (AWS)
Business Logic
Automation of Tests
Azure
Big Data
Code Coverage
Continuous Integration
Data Validation
Information Engineering
ETL
Data Profiling
Data Systems
DevOps
Distributed Systems
Github
Python
Software Reliability Testing
SQL Databases
Software Testing Automation Framework
System Testing
Systems Integration
Strategies of Testing
System Availability
Delivery Pipeline
Spark
Gitlab
System-level Testing
Data Lake
Information Technology
Data Analytics
Data Management
Stream Processing
Data Pipelines
Jenkins
Databricks
Programming Languages

Job description

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., 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.

Requirements

  • 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).

Benefits & conditions

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

About the company

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.

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