Remote AI Data Engineer: Cloud Data Pipelines on AWS

Cognizant Technology Solutions Corporation; City of Albany (NY); 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

Long-term/Short-term Disability

Paid Parental Leave

Employee Stock Purchase Plan

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 applications on AWS. You will collaborate with data engineers, software engineers, architects, product owners, and stakeholders to deliver robust data solutions.

The role emphasizes production-quality Python code, hands-on AWS services, and experience with tools like Glue, DMS, Kafka, Airflow, and Snowflake.

Qualifications

• Strong hands-on Python development experience delivering production-quality code.
• Proven data engineering experience building scalable pipelines and processing solutions.
• Hands-on expertise with AWS services and cloud-native architectures.
• Experience with AWS Glue, AWS DMS, Kafka, Airflow, Snowflake or equivalent.
• Experience using AI-assisted development tools to accelerate software engineering.

Responsibilities

• Design, develop, and support scalable cloud-native data pipelines and integrations.
• Build production-grade Python apps and AWS Lambda functions.
• Develop data platforms using AWS Glue, DMS, Kafka, Airflow, and Snowflake.
• Translate requirements into engineering specs, designs and acceptance criteria.
• Review, test, and optimize AI-generated code before production.

Skills

Python development

Data engineering

Cloud architecture

Requirements translation

Code review/QA

Tools

AWS Glue

AWS DMS

Apache Kafka

Apache Airflow

Snowflake

Claude Code

Kiro

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 applications on AWS. You will collaborate with data engineers, software engineers, architects, product owners, and stakeholders to deliver robust data solutions.

The role emphasizes production-quality Python code, hands-on AWS services, and experience with tools like Glue, DMS, Kafka, Airflow, and Snowflake.