Remote AI Data Engineer: Cloud-Native Pipelines on AWS

Cognizant; Columbus (GA); 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

Disability insurance

Parental Leave

Employee Stock Purchase Plan

Job summary

Cognizant is hiring an AI Data Engineer to design, build, and optimize scalable cloud-native data solutions within the AWS ecosystem. You will collaborate with data engineers, software engineers, and stakeholders to deliver AI-enabled applications.

The role emphasizes Python development, production-quality code, and data platform work using AWS Glue, DMS, Kafka, Airflow, and Snowflake. Remote work is possible with flexible arrangements.

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 architectures.
• Experience with AWS Glue, AWS DMS, Kafka, Airflow, or Snowflake.
• Experience using AI-assisted development tools to accelerate software engineering.
• Ability to translate business requirements into technical specifications.

Responsibilities

• Design, develop, and support scalable data pipelines and processing solutions.
• Build production-grade Python applications and AWS Lambda functions.
• Develop data platforms using AWS Glue, DMS, Kafka, Airflow, and Snowflake.
• Translate requirements into engineering designs and acceptance criteria.
• Review and optimize AI-generated code throughout the lifecycle.

Skills

Python development

Data engineering

AWS cloud

AWS Glue

AWS DMS

Apache Kafka

Apache Airflow

Snowflake

Claude Code

Kiro

AWS Lambda

Tools

AWS Lambda

Snowflake

Apache Kafka

Apache Airflow

Claude Code

Job description

Cognizant is hiring an AI Data Engineer to design, build, and optimize scalable cloud-native data solutions within the AWS ecosystem. You will collaborate with data engineers, software engineers, and stakeholders to deliver AI-enabled applications.

The role emphasizes Python development, production-quality code, and data platform work using AWS Glue, DMS, Kafka, Airflow, and Snowflake. Remote work is possible with flexible arrangements.