Remote AI Data Engineer - Cloud Data Pipelines & AWS

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

Benefits offered by this job

Medical insurance

401(k) plan

Paid time off

Job summary

Cognizant Technology Solutions Corporation is seeking an AI Data Engineer to design, build, and optimize scalable cloud-native data pipelines and AI-enabled solutions on the AWS ecosystem. You will work with cross-functional teams to translate business requirements into robust engineering designs and measurable acceptance criteria.

The role emphasizes hands-on Python development, AWS-centric architectures, and experience with tools like AWS Glue, DMS, Kafka, Airflow, and Snowflake.

Qualifications

• Strong hands-on Python development with production-grade 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 on AWS.
• Build production-grade Python applications and AWS Lambda functions.
• Collaborate with data engineers, software engineers, architects, and stakeholders to drive AI-enabled data solutions.

Skills

Python

Data pipelines

AWS services

AWS Glue

AWS DMS

Kafka

Airflow

Snowflake

AWS Lambda

TypeScript

Tools

Claude Code

Kiro

MCP

CI/CD

Job description

Cognizant Technology Solutions Corporation is seeking an AI Data Engineer to design, build, and optimize scalable cloud-native data pipelines and AI-enabled solutions on the AWS ecosystem. You will work with cross-functional teams to translate business requirements into robust engineering designs and measurable acceptance criteria.

The role emphasizes hands-on Python development, AWS-centric architectures, and experience with tools like AWS Glue, DMS, Kafka, Airflow, and Snowflake.