Remote AI Data Engineer - Cloud-Native Pipelines

Cognizant Technology Solutions Corporation; Salem (OR); Remote; USD 100,000 - 115,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Paid holidays plus 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 solutions for AI-driven applications. You will collaborate with data engineers, software engineers, architects, and stakeholders across the AWS ecosystem.

Responsibilities include building Python apps, Lambda functions, and data pipelines using AWS Glue, DMS, Kafka, Airflow, and Snowflake. Remote role with flexible work-life balance and comprehensive benefits.

Qualifications

• Strong hands-on Python development experience with demonstrated success delivering 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 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, data integrations, and processing solutions using modern cloud-native technologies.
• Build 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

Data pipelines

AWS services

AI-assisted tools

AWS Lambda

Tools

AWS Glue

AWS DMS

Apache Kafka

Apache Airflow

Snowflake

Claude Code

Kiro

Job description

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

Responsibilities include building Python apps, Lambda functions, and data pipelines using AWS Glue, DMS, Kafka, Airflow, and Snowflake. Remote role with flexible work-life balance and comprehensive benefits.