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Salary
≈ $68k – $125k per year (Estimated)
Location
Remote (United States, UTC-6 – UTC-5 hours)
Seniority
Senior · 5+ years exp
Visa
No sponsorship (stated in the posting)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 14, 2026. First seen by Alion on Oct 14, 2026. Cognizant scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Cognizant is an American information technology services and consulting company founded in 1994 as an in-house technology unit of Dun and Bradstreet in Chennai, India, and headquartered in Teaneck, New Jersey. It builds, integrates and operates software and infrastructure for large enterprises, with particularly deep positions in healthcare, financial services, insurance and life sciences, delivered by a global workforce of more than three hundred thousand people concentrated in India. Listed on Nasdaq, the company competes with the large Indian and global systems integrators and has reoriented its offerings around cloud migration, data platforms and AI-assisted engineering.

"Applicants must be currently authorized to work for any employer in the United States. The company is unable to provide employment-based immigration sponsorship for this position."

Job Title: Software Developer in Test (SDET) - Database, SQL and SPROC Testing

Location: Remote (On-shore preferably EST or CST timezones)

Job Type: Contract

Experience Level: Mid-Level/Senior-Level

Job Description:

We are seeking a skilled Software Development Engineer in Test (SDET) with expertise in database testing, stored procedure testing, and mocking techniques. This role involves ensuring data integrity, validating backend functionality, and implementing automated tests for database-driven applications. The ideal candidate should have experience in mocking database interactions, automating tests for stored procedures, and working with complex SQL queries to validate data consistency and system performance.

Key Responsibilities:

  • Design, develop, and maintain automated test frameworks for database and backend testing.

  • Create and execute test cases for stored procedures, triggers, and database functions to validate business logic and data consistency.

  • Implement mocking techniques to simulate database interactions and isolate testing components.

  • Develop and maintain unit and integration tests using mocking frameworks such as Mockito, JMock, or WireMock.

  • Collaborate with development and DevOps teams to integrate database tests into CI/CD pipelines using Jenkins, GitHub Actions, or GitLab CI.

  • Perform SQL query validation to ensure data accuracy, integrity, and consistency across multiple environments.

  • Work with API testing to validate database interactions using tools like Postman or RestAssured.

  • Identify and report performance bottlenecks in database queries and stored procedures.

  • Implement data-driven and schema validation tests to verify database changes.

  • Research and implement best practices for database testing, data virtualization, and test data management.

Required Skills & Qualifications:

  • 5+ years of experience in database and backend testing.

  • Strong knowledge of SQL databases (MySQL, PostgreSQL, SQL Server, Oracle) and stored procedure testing.

  • Proficiency in mocking techniques for database interactions using Mockito, JMock, WireMock, or similar frameworks.

  • Hands-on experience with unit testing frameworks such as JUnit, NUnit, or TestNG.

  • Expertise in writing complex SQL queries, stored procedures, and triggers for test validation.

  • Experience in CI/CD automation with tools like Jenkins, GitHub Actions, or Azure DevOps.

  • Familiarity with API testing and backend validation using Postman, RestAssured, or SoapUI.

  • Strong problem-solving skills and ability to debug database-related issues.

  • Experience with test data management and creating reusable test datasets.

Nice to Have:

  • Experience with performance testing of databases using JMeter or Gatling.

  • Knowledge of NoSQL databases (MongoDB, Redis) and their testing approaches.

  • Exposure to containerized environments with Docker and Kubernetes.

  • Familiarity with security testing techniques for database vulnerabilities.

  • Understanding of cloud-based database solutions (AWS RDS, Azure SQL, Google Cloud SQL).

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