AI Data Engineer — Build Data Pipelines for AI CX

UJET; Los Angeles (CA); Hybrid; USD 80,000 - 100,000; Full time

Benefits offered by this job

Collaborative team environment

Opportunities for professional growth

Job summary

UJET is seeking an AI Data Engineer responsible for managing data integrations for clients, working closely with them to ensure data flows into their system effectively. This hybrid role combines technical discovery and hands-on data pipeline engineering, requiring strong interaction with customers and teamwork within the engineering division.

Applicants should possess a degree in Computer Science and experience in practical data engineering. The position is based in the Greater Los Angeles area with a focus on collaboration and innovative AI solutions.

Qualifications

• Bachelor's degree in a technical field required.
• Production experience with data pipelines or integrations preferred.
• Fluency with standard engineering workflows using git.
• Comfort using AI technologies in engineering tasks.

Responsibilities

• Run technical discovery sessions with new customers.
• Design integration approaches for data ingestion.
• Validate cloud access policies and ensure functional access.
• Develop code for data adaptation and production deployment.
• Modify cloud infrastructure as needed for customer onboarding.
• Operate customer data ingestion processes and validate outcomes.
• Support customer relationships post-launch for ongoing needs.

Skills

Data pipeline engineering

SQL querying

AI-assisted coding tools

Cloud infrastructure

Technical communication

Education

Bachelor's degree in Computer Science or equivalent

Tools

Temporal

Terraform

AWS CDK

Job description

UJET is seeking an AI Data Engineer responsible for managing data integrations for clients, working closely with them to ensure data flows into their system effectively. This hybrid role combines technical discovery and hands-on data pipeline engineering, requiring strong interaction with customers and teamwork within the engineering division.

Applicants should possess a degree in Computer Science and experience in practical data engineering. The position is based in the Greater Los Angeles area with a focus on collaboration and innovative AI solutions.