Remote AI Data Engineer: Cloud Data Pipelines & AI Apps

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

Benefits offered by this job

Medical/Dental/Vision/Life Insurance

Paid holidays and PTO

401(k) plan and contributions

Discretionary annual incentive program

Job summary

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

The role emphasizes Python development, scalable data pipelines, and production-grade code, with a remote-friendly work model and a strong focus on engineering best practices throughout the SDLC.

Qualifications

• Strong hands-on Python development experience with production-grade code.
• Proven data engineering experience building scalable data pipelines.
• Hands-on expertise with AWS services and cloud-native architectures.
• Experience with AWS Glue, AWS DMS, Kafka, Airflow, or Snowflake.
• Experience using AI-assisted development tools to accelerate engineering while maintaining rigor.
• Ability to translate business requirements into technical specifications.

Responsibilities

• Design, build, and optimize scalable data pipelines and processing solutions.
• Develop production-grade Python applications and AWS Lambda functions.
• Enhance data platforms using AWS services, Kafka, Airflow, and Snowflake.
• Translate requirements into designs and acceptance criteria.
• Review, test, and optimize AI-generated code before deployment.

Skills

Python development

Data engineering

AWS cloud

Stakeholder collaboration

Code review & testing

Tools

AWS Glue

AWS DMS

Apache Kafka

Apache Airflow

Snowflake

Job description

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

The role emphasizes Python development, scalable data pipelines, and production-grade code, with a remote-friendly work model and a strong focus on engineering best practices throughout the SDLC.