Remote AI Data Engineer - AWS Data Pipelines & AI Apps

Cognizant; Richmond (VA); Remote; USD 100,000 - 115,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Paid holidays + Paid Time Off

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 for AI-driven applications. You will collaborate with data engineers, software engineers, architects, product owners, and business stakeholders to deliver innovative solutions across the AWS ecosystem.

This remote-friendly role emphasizes production-grade Python, AWS services, and data platforms such as Glue, DMS, Kafka, Airflow, and Snowflake.

Qualifications

• Strong hands-on Python development experience with production-quality code.
• Proven data engineering experience building, deploying, and supporting scalable data pipelines.
• 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.
• 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, develop, and support scalable data pipelines and processing solutions.
• Build production-grade Python applications and AWS Lambda functions integrated with AWS services.
• Develop and enhance data platforms using AWS Glue, DMS, Kafka, Airflow, and Snowflake.
• Translate business requirements into engineering designs and acceptance criteria.
• Review, test, debug, and optimize AI-generated code throughout the lifecycle.

Skills

Python development

Data engineering

Cloud-native architectures

AI-assisted development

Requirements translation

Code review / debugging

Tools

AWS

AWS Glue

AWS DMS

Apache Kafka

Apache Airflow

Snowflake

Claude Code

Kiro

TypeScript

Job description

Cognizant Technology Solutions Corporation is seeking an AI Data Engineer to design, build, and optimize scalable cloud-native data pipelines for AI-driven applications. You will collaborate with data engineers, software engineers, architects, product owners, and business stakeholders to deliver innovative solutions across the AWS ecosystem.

This remote-friendly role emphasizes production-grade Python, AWS services, and data platforms such as Glue, DMS, Kafka, Airflow, and Snowflake.