AI Data Engineer

Inclusion Cloud; United States; Remote; USD 100,000 - 130,000; Full time

Job summary

A leading technology firm seeks an AI Data Engineer to design and implement cloud data architecture solutions within the AWS environment. The ideal candidate will have experience in data integration and transformation, optimizing scalability of solutions while ensuring data quality and security. Proficiency in AWS services and fluency in English are required, with intermediate Spanish being a plus.

Qualifications

• Proven experience in AWS Cloud data architecture and AI solutions.
• Strong knowledge of data integration, ingestion, and transformation tools.
• Experience handling structured/unstructured, vector, and graph data.

Responsibilities

• Design and implement cloud data and AI architecture solutions on AWS.
• Develop and maintain data integration, ingestion, and transformation pipelines.
• Optimize data workflows and ensure scalability of deployed solutions.

Skills

AWS Cloud data architecture

Data integration tools

Data ingestion and transformation

Data governance best practices

Fluent in English

Intermediate Spanish

Tools

AWS CloudFormation

AWS S3

AWS Glue

AWS Redshift

ETL/ELT frameworks

Job description

Location: Remote (preferred within LATAM)
Language Requirements: Advanced English (required), Intermediate Spanish (desired)

About the Role

We are looking for a AI Data Engineer to support several initiatives within our Data Management team, focused on Artificial Intelligence, data processing, and cloud integration across our AWS environments.

The ideal candidate will have solid experience in designing and deploying cloud-based data and AI architectures, as well as in developing data ingestion, integration, and transformation pipelines.

Responsibilities

Design and implement cloud data and AI architecture solutions on AWS.

Develop and maintain data integration, ingestion, and transformation pipelines.

Support AI architecture design and implementation aligned with business goals.

Manage structured and unstructured data, including vector and graph data administration.

Collaborate with cross-functional teams to ensure data quality, security, and availability.

Optimize data workflows and ensure scalability of deployed solutions.

Main Technologies

AWS Services: CloudFormation, S3, IAM, Glue, Athena, AWS Q, Bedrock, Synapse, Redshift, Lake Formation

Data Processing: ETL/ELT frameworks, data pipelines, data lake management

Requirements

Proven experience in AWS Cloud data architecture and AI solutions.

Strong knowledge of data integration, ingestion, and transformation tools.

Experience handling structured/unstructured, vector, and graph data.

Familiarity with data governance and security best practices in AWS.

Fluent in English (written and spoken).

Spanish at an intermediate level is a plus.