Remote AI Data Engineer: Cloud-Native Pipelines & AI Apps

Cognizant; Jackson (MS); Remote; USD 100,000 - 115,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Paid holidays and PTO

401(k) plan and contributions

Long-term/Short-term Disability

Paid Parental Leave

Employee Stock Purchase Plan

Job summary

Cognizant Technology Solutions Corporation is seeking an AI Data Engineer to design, build, and optimize scalable cloud-native data pipelines supporting AI-driven applications. You will work with AWS services and AI-assisted tools to deliver robust data solutions.

You will develop Python applications and Lambda functions, leverage Glue, DMS, Kafka, Airflow, and Snowflake, and review AI-generated code for quality and security. This is a remote position with flexible work arrangements.

Qualifications

• Strong hands-on Python development experience delivering production-grade code.
• Proven data engineering experience building scalable data pipelines and processing solutions.
• Hands-on expertise with AWS services and cloud-native data engineering architectures.
• Experience with AWS Glue, AWS DMS, Apache Kafka, Apache Airflow, or Snowflake.
• Experience using AI-assisted development tools such as Claude Code, Kiro, or similar technologies to accelerate software engineering while maintaining engineering rigor.
• Ability to convert business requirements into technical specifications, solution designs, and acceptance criteria.
• Experience reviewing, testing, debugging, and optimizing AI-generated code before production deployment.
• Hands-on experience developing AWS Lambda functions using Python and integrating them with AWS services.

Responsibilities

• Design, build, and optimize scalable data pipelines and processing solutions.
• Develop production-grade Python applications, scripts, and AWS Lambda functions that integrate with enterprise platforms, APIs, and AWS services.
• Develop and enhance data platforms leveraging technologies such as AWS Glue, AWS DMS, Apache Kafka, Apache Airflow, and Snowflake.
• Translate business and technical requirements into engineering specifications, technical designs, and measurable acceptance criteria.
• Review, validate, test, debug, and optimize AI-generated code while applying engineering best practices throughout the software development lifecycle.

Skills

Python development

Data engineering experience

AWS services

AWS Lambda

AI-assisted development tools

Requirements translation

Tools

AWS Glue

AWS DMS

Apache Kafka

Apache Airflow

Snowflake

Claude Code

Kiro

MCP

Job description

Cognizant Technology Solutions Corporation is seeking an AI Data Engineer to design, build, and optimize scalable cloud-native data pipelines supporting AI-driven applications. You will work with AWS services and AI-assisted tools to deliver robust data solutions.

You will develop Python applications and Lambda functions, leverage Glue, DMS, Kafka, Airflow, and Snowflake, and review AI-generated code for quality and security. This is a remote position with flexible work arrangements.