Remote AI Data Engineer: Cloud-Native Pipelines

Cognizant Technology Solutions Corporation; Atlanta (GA); A distancia; USD 100.000 - 115.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

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

Descripción de la vacante

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

You will develop scalable data pipelines, Lambda functions in Python, and data platforms using AWS Glue, DMS, Kafka, Airflow, and Snowflake, while translating requirements into technical designs and acceptance criteria.

Formación

• Strong hands-on Python development experience with demonstrated success delivering production-quality code.
• Proven data engineering experience building, deploying, and supporting scalable data pipelines and processing solutions.
• Hands-on expertise with AWS services and cloud-native data engineering architectures.
• Experience working with one or more of the following technologies: 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.

Responsabilidades

• 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.

Conocimientos

Python development

AWS

Data pipelines

Apache Airflow

Apache Kafka

Snowflake

Claude Code

Kiro

MCP

CI/CD

Herramientas

AWS Glue

AWS DMS

Apache Kafka

Apache Airflow

Snowflake

Descripción del empleo

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

You will develop scalable data pipelines, Lambda functions in Python, and data platforms using AWS Glue, DMS, Kafka, Airflow, and Snowflake, while translating requirements into technical designs and acceptance criteria.