System Test Engineer – Data Analytics & Platform Testing - Onsite

Cognizant

Quick summary

Work type
On-site
Location
Lake Forest, CA
Salary
$70,000–$100,000 / yr
Posted
17 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $171k
This role $85k
$53k most similar roles pay here $228k

This role pays less than 99% of similar roles. Most pay $129,900–$211,200 — the shaded band above. At the midpoint, this role pays about $85k versus about $171k for comparable roles.

Based on 240 similar postings.

Employer

About Cognizant

Cognizant is a multinational IT services and consulting company offering digital transformation, technology, and business process services. It serves clients across financial services, healthcare, manufacturing, and other industries worldwide.

Cognizant currently has 32 open roles on FindRole.

Listed pay typically runs $134,000–$194,000 across 29 roles with salary data.

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At a glance

TL;DR · System Test Engineer – Data Analytics & Platform Testing - Onsite

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Cognizant’s IoT Practice is hiring a System Test Engineer to ensure the quality, reliability, and performance of complex data systems by designing and executing end-to-end system testing strategies for data platforms and distributed systems. This role involves validating data flows, integrations, and business logic across scalable environments using tools like Databricks, Apache Spark, and Delta Lake, while also integrating tests into CI/CD pipelines with Azure DevOps or Jenkins. The ideal candidate will have 4+ years of experience in system testing, proficiency in SQL and Python or Scala, and hands-on experience with big data frameworks and cloud platforms such as AWS or GCP. This position requires strong collaboration skills to work closely with data engineers and product teams on defining testing strategies and maintaining test documentation.

Skills

Databricks Apache_Spark Delta_Lake CI/CD Azure_DevOps Jenkins GitHub_Actions SQL Python Test_automation Cloud_platforms AWS Azure GCP Performance_testing Load_testing Stress_testing System_test_strategies Data_validation ETL_testing

What you'll do

  • Design and execute system-level test strategies for data platforms.
  • Perform end-to-end testing of data pipelines, including ingestion, transformation, and reporting layers.
  • Validate batch and real-time data processing pipelines in distributed environments.
  • Integrate system tests into CI/CD pipelines using tools like Azure DevOps or Jenkins.
  • Conduct performance, load, and stress testing of data platforms to ensure reliability.
  • Develop automated test suites for regression, integration, and system validation.

What we're looking for

  • 4+ years of experience in System Testing, QA Engineering, or Software Testing.
  • Strong background in data systems, ETL testing, and data validation.
  • Hands-on expertise with Databricks, Apache Spark, and big data frameworks.
  • Proficiency in SQL and at least one programming language (Python, Java, Scala).
  • Experience integrating system tests into CI/CD pipelines using tools like Azure DevOps or Jenkins.
  • Understanding of test automation frameworks for regression, integration, and system validation.
  • Knowledge of cloud platforms such as Azure, AWS, or GCP.

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