COGNIZANT CAREERS
Cognizant AI Data Engineer Recruitment 2026
Build scalable AWS data pipelines, Python applications and AI-driven cloud engineering solutions.
📍 Columbus, USA
💰 $100K–$115K
Application Deadline: November 29, 2026 • Job ID: 00071290692
Company
Cognizant
Job Role
AI Data Engineer
Work Model
Remote USA
Annual Salary
$100K–$115K
Cognizant AI Data Engineer Recruitment 2026
Cognizant AI Data Engineer Recruitment 2026 offers an opportunity for experienced data engineering professionals to develop scalable cloud-native data solutions supporting artificial intelligence applications and enterprise business outcomes.
The position is advertised in Columbus, United States, with a work-from-home arrangement. The role belongs to Cognizant’s Digital job category and involves collaboration with data engineers, software engineers, architects, product owners and business stakeholders.
Applicants should have strong Python development experience, hands-on AWS knowledge and practical expertise in building and supporting production data pipelines.
The advertised annual salary range is $100,000–$115,000, depending on experience and qualifications. Applications will be accepted until November 29, 2026.
Cognizant AI Data Engineer Job Overview 2026
| Job Details | Information |
|---|---|
| Company | Cognizant |
| Job Role | AI Data Engineer |
| Job ID | 00071290692 |
| Published Date | November 6, 2026 |
| Location | Columbus, United States |
| Work Model | Work From Home |
| Job Category | Digital |
| Annual Salary | $100,000–$115,000 |
| Primary Skills | Python, AWS, Data Pipelines |
| Technologies | AWS Glue, DMS, Kafka, Airflow, Snowflake |
| Work Authorization | Existing US work authorization required |
| Visa Sponsorship | Not available for US-based positions |
| Last Date | November 29, 2026 |
About Cognizant
Cognizant is a technology services provider focused on helping organizations translate investments in artificial intelligence and technology into business value.
The company develops full-stack AI solutions and combines industry knowledge, engineering expertise and business process understanding to help enterprises improve operations and accelerate innovation.
For this AI Data Engineer position, Cognizant seeks professionals who can build reliable cloud data systems and work collaboratively across engineering and business teams.
The position emphasizes modern AWS architecture, production-quality Python engineering and the responsible use of AI-assisted software development tools.
Cognizant AI Data Engineer Job Responsibilities
01. Cloud-Native Data Pipelines
Design, develop and support scalable data pipelines, integrations and processing systems using modern cloud-native technologies.
02. Python Application Development
Build production-grade Python applications and scripts that integrate with enterprise platforms, APIs and AWS services.
03. AWS Lambda Engineering
Develop AWS Lambda functions using Python and connect serverless applications with other AWS services.
04. Data Platform Development
Develop and enhance platforms using AWS Glue, AWS DMS, Apache Kafka, Apache Airflow and Snowflake.
05. Technical Design and Specifications
Translate business requirements into engineering specifications, solution designs and measurable acceptance criteria.
06. AI-Generated Code Quality
Review, test, debug and optimize AI-generated code before production deployment while applying software engineering best practices.
Cognizant AI Data Engineer Recruitment 2026 Eligibility
The employer lists the following experience and technical requirements for consideration:
- Strong hands-on Python development experience with production-quality code.
- Proven experience building, deploying and supporting scalable data engineering solutions.
- Hands-on expertise with AWS services and cloud-native data engineering architecture.
- Experience with at least one of AWS Glue, AWS DMS, Apache Kafka, Apache Airflow or Snowflake.
- Experience using AI-assisted development tools such as Claude Code or Kiro.
- Ability to convert business requirements into technical designs and acceptance criteria.
- Experience reviewing, testing, debugging and improving AI-generated code.
- Hands-on experience developing AWS Lambda functions using Python.
- Existing authorization to work for any employer in the United States.
Technical Skills Required for Cognizant AI Data Engineer
AWS Lambda
AWS Glue
AWS DMS
Kafka
Airflow
Snowflake
Claude Code
Kiro
REST APIs
Python Engineering
Candidates should be able to write maintainable Python applications and scripts, develop integrations and deliver reliable production code.
AWS Cloud Architecture
The role emphasizes AWS-based engineering, including serverless functions, data processing and integrations across cloud services.
Data Engineering Platforms
Experience with technologies such as AWS Glue, DMS, Kafka, Airflow or Snowflake is important for building scalable ingestion and processing solutions.
AI-Assisted Development
Applicants should understand how to use AI coding assistants productively while reviewing and validating generated code before it reaches production.
Preferred Skills That Help Candidates Stand Out
Cognizant identifies several additional capabilities that may strengthen an application.
- Experience using Kiro and specification-driven development approaches.
- Practical experience with Claude Code for engineering projects.
- Knowledge of Model Context Protocol (MCP) and MCP-based integrations.
- Experience implementing automated tests, CI/CD and deployment automation.
- AWS certifications such as AWS Certified Data Engineer, Developer or Solutions Architect.
- Working knowledge of TypeScript.
- Understanding of agentic AI, including agents, tools, memory, orchestration and human-in-the-loop workflows.
- Experience with Strands Agents SDK or similar agent frameworks.
- Experience building MCP servers, tools and integrations.
- Ability to create reusable engineering standards, specifications and governance practices.
The job values candidates who can develop agentic workflows interacting with AWS services, enterprise applications, APIs and data platforms while maintaining engineering quality and operational reliability.
Cognizant AI Data Engineer Salary 2026
Annual Salary Range
$100,000 – $115,000
Compensation depends on the successful candidate’s experience and qualifications. The position may also be eligible for a discretionary annual incentive program based on performance and applicable plan terms.
Employee Benefits
🏥 Insurance
Medical, dental, vision and life insurance.
🏖️ Paid Time Off
Paid holidays and paid time off.
💰 401(k)
Retirement plan and contributions.
💙 Disability Coverage
Long-term and short-term disability benefits.
👨👩👧 Parental Leave
Paid parental leave.
📈 Stock Purchase Plan
Employee Stock Purchase Plan.
All benefits are subject to eligibility requirements. Compensation and benefit information is accurate as of the employer’s posting date and may change.
Is the Cognizant AI Data Engineer Job Remote?
Yes. The position is advertised with a Work from Home work model and is open to qualified applicants.
The listed job location is Columbus, United States. The employer notes that working arrangements may change based on project assignments, business requirements and client needs.
Cognizant also emphasizes work-life balance and wellbeing programs to support employees across different working arrangements.
The employer states that applicants for US-based positions must already be authorized to work for any US employer. Employment-based immigration sponsorship is not available for this position.
How to Prepare for Cognizant AI Data Engineer Recruitment 2026
Candidates preparing for this opportunity can focus on the engineering requirements and technologies listed in the job description.
- Python: Practice functions, data structures, exception handling, APIs, logging and production code quality.
- AWS Lambda: Understand event-driven processing, function development and integration with other AWS services.
- Data Pipelines: Review ingestion, transformation, orchestration, monitoring and troubleshooting.
- AWS Glue and DMS: Understand cloud ETL workflows and database migration use cases.
- Kafka and Airflow: Review event streaming and workflow orchestration fundamentals.
- Snowflake: Prepare data loading, transformation and cloud warehouse concepts.
- AI Coding Tools: Practice reviewing, testing and improving AI-generated code.
- MCP and Agents: Learn the purpose of tools, agent workflows, MCP servers and human-in-the-loop design.
- Technical Communication: Prepare examples explaining how business requirements become engineering specifications and working solutions.
These are general preparation suggestions, not confirmed interview questions or a published Cognizant assessment syllabus.
🚀
Apply for Cognizant AI Data Engineer Recruitment 2026
Eligible candidates can review the official Cognizant job listing and submit an application through the company’s recruitment portal.
Apply by November 29, 2026 • Job ID 00071290692
How to Apply Online for Cognizant AI Data Engineer
- Visit the official Cognizant job page using the Apply Now button.
- Review the complete job description and verify that applications remain open.
- Confirm your US work authorization and technical eligibility.
- Follow the application instructions on Cognizant’s recruitment portal.
- Provide accurate professional experience, technical skills and application details.
- Submit your application before the advertised deadline.
Frequently Asked Questions
What is the Cognizant AI Data Engineer job?
It is a data engineering position focused on Python, AWS cloud services, scalable data pipelines and AI-assisted software development.
What is the salary for Cognizant AI Data Engineer?
The advertised annual salary range is $100,000–$115,000, depending on experience and qualifications.
Is this a work-from-home job?
Yes. The position is advertised as work from home, although arrangements may change based on business and client requirements.
Where is the position located?
The advertised location is Columbus, United States.
Does Cognizant provide visa sponsorship?
No. Cognizant states that it cannot provide employment-based immigration sponsorship for US-based positions.
Which technical skills are required?
Python, AWS, data pipelines, AWS Lambda and experience with at least one of Glue, DMS, Kafka, Airflow or Snowflake are among the requirements.
Is AI-assisted coding experience required?
Yes. The listing requires experience using AI-assisted development tools and reviewing, testing and optimizing AI-generated code.
What is the last date to apply?
Applications are advertised as accepted until November 29, 2026.
Can candidates from India apply?
This is a US-based vacancy requiring existing authorization to work for any US employer. The listing does not offer immigration sponsorship.
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Final Thoughts
Cognizant AI Data Engineer Recruitment 2026 is a US-based remote opportunity for professionals with experience in Python, AWS and modern data engineering platforms.
The position combines scalable data pipelines, cloud-native applications, serverless AWS Lambda development and AI-assisted engineering practices.
With an advertised annual salary range of $100,000–$115,000 and benefits subject to eligibility, the role may appeal to qualified professionals who already possess US work authorization.
Interested candidates should review the official job description and submit their applications by November 29, 2026, subject to the vacancy remaining open.
