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1–2 jobs· newest first

AI Data Engineer – AWS, Python & Agentic AI
ICONMA, LLC · Remote, US
Remote · Senior
AI Data Engineer
Cognizant · Remote
$100K–$115KRemote · Full-time

+10K new in the last hour

I

AI Data Engineer – AWS, Python & Agentic AI

ICONMA, LLC · Posted Nov 9, 2026

Remote, United States
Remote
Senior
14+ years

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AI

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AI Data Engineer focused on AWS, Python and Agentic AI

Responsibilities

Designing and building MCP servers, tools, and integrations
Creating reusable Kiro steering rules, specifications, development patterns, and engineering standards
Building agentic workflows and tool orchestration, particularly where AI agents interact with AWS services, data platforms, APIs, and enterprise systems
Applying AI-assisted engineering throughout the SDLC, from requirements/specification → code generation → review/testing → deployment and operational support

Requirements

Nice to have: Kiro
Nice to have: Claude Code
Nice to have: MCP
Nice to have: AWS certification (Data Engineer, Developer, or Solutions Architect)

Skills

Python AWS Glue AWS DMS Apache Kafka Apache Airflow Snowflake AWS Lambda Claude Code Kiro Model Context Protocol (MCP)TypeScript CI/CD pipelines Automated testing Code-quality controls Deployment automation Agentic AI engineering concepts

Benefits

Health Benefits
Referral Program

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AI Data Engineer

Cognizant · Posted Nov 8, 2026

Remote
Remote
Full-time
$100K–$115K per year

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Design, build, and optimize scalable cloud-native data engineering solutions that enable advanced AI-driven applications and business outcomes.

Compensation

The annual salary for this position is between $ 100,000 - $ 115,000 depending on experience and other qualifications of the successful candidate.

Responsibilities

Design, develop, and support scalable data pipelines, data integrations, and processing solutions using modern cloud-native technologies.
Build production-grade Python applications, scripts, and AWS Lambda functions that integrate with enterprise platforms, APIs, and AWS services.
Develop and enhance data platforms leveraging technologies such as AWS Glue, AWS DMS, Apache Kafka, Apache Airflow, and Snowflake.
Translate business and technical requirements into engineering specifications, technical designs, and measurable acceptance criteria.
Review, validate, test, debug, and optimize AI-generated code while applying engineering best practices throughout the software development lifecycle.

Requirements

Nice to have: Kiro
Nice to have: Claude Code
Nice to have: Model Context Protocol (MCP)
Nice to have: agentic AI development frameworks
Nice to have: Strands Agents SDK

Skills

Python AWS Glue

AI-assisted development tools

CI/CD pipelines

code-quality controls

Benefits

Medical/Dental/Vision/Life Insurance
Paid holidays plus Paid Time Off
401(k) plan and contributions
Long-term/Short-term Disability
Paid Parental Leave

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