Remote AI Data Engineer: Cloud Data Pipelines & AI

Cognizant Technology Solutions Corporation; Madison (WI); A distancia; USD 100.000 - 115.000; Jornada completa

Descripción de la vacante

Cognizant Technology Solutions Corporation is hiring an AI Data Engineer in a remote-capable role based in the United States. You will design and optimize cloud-native data pipelines, build Python apps and AWS Lambda functions, and develop data platforms with Glue, DMS, Kafka, Airflow, and Snowflake.

You will translate business needs into technical designs, review AI-generated code, and ensure quality across the software lifecycle.

Formación

• Strong hands-on Python development experience 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 with AWS Glue, AWS DMS, Kafka, Airflow, or Snowflake.
• Experience using AI-assisted development tools to accelerate software engineering while maintaining rigor.

Responsabilidades

• Design, develop, and support scalable data pipelines and data integrations.
• Build production-grade Python applications and AWS Lambda functions.
• Develop and enhance data platforms using AWS Glue, DMS, Kafka, Airflow, and Snowflake.
• Translate requirements into engineering designs and measurable criteria.
• Review and optimize AI-generated code and ensure engineering best practices.

Conocimientos

Python development

Data engineering

AWS services

Claude Code

AI-assisted tooling

Requirements translation

Herramientas

AWS Glue

AWS DMS

Apache Kafka

Apache Airflow

Snowflake

Claude Code

Descripción del empleo

Cognizant Technology Solutions Corporation is hiring an AI Data Engineer in a remote-capable role based in the United States. You will design and optimize cloud-native data pipelines, build Python apps and AWS Lambda functions, and develop data platforms with Glue, DMS, Kafka, Airflow, and Snowflake.

You will translate business needs into technical designs, review AI-generated code, and ensure quality across the software lifecycle.