Senior Data Engineer - AI/ML Pipelines (On-Site)

VY Systems; Scottsdale, Omaha, La Vista, Atlanta (AZ, NE, NE, GA); On-site; USD 120,000 - 160,000; Full time

Job summary

VY Systems is seeking an experienced Data Engineer with AI specialization to join our client's technology engineering team on-site in Scottsdale, AZ. This contract/C2C role focuses on building scalable data pipelines, integrating AI/ML models, and deploying robust cloud data warehousing solutions using Python, Spark, and modern data platforms.

You will own end-to-end development, collaborate with data scientists, solution architects, and QA, and ensure performance, security, and reliability in a

Qualifications

• Bachelor’s degree in CS/SE/IT or related field.
• 6+ years of software engineering experience in enterprise tech.
• Hands-on experience with data pipelines and AI/ML integration.
• Proficiency in API development and distributed data processing.
• Strong written and verbal English communication.

Responsibilities

• Design, develop, test, and maintain scalable data engineering pipelines and services.
• Integrate AI/ML models with data platforms and cloud data warehousing.
• Develop backend and API integrations with enterprise databases.
• Collaborate with solution architects, data scientists, and QA teams.
• Produce technical design documents and deployment runbooks.

Skills

Data engineering pipelines

AI/ML model integration

Python

Spark

Cloud data warehousing

Distributed systems

API development

Education

Bachelor's degree in Computer Science/Software Engineering/Information Technology

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

VY Systems is seeking an experienced Data Engineer with AI specialization to join our client's technology engineering team on-site in Scottsdale, AZ. This contract/C2C role focuses on building scalable data pipelines, integrating AI/ML models, and deploying robust cloud data warehousing solutions using Python, Spark, and modern data platforms.

You will own end-to-end development, collaborate with data scientists, solution architects, and QA, and ensure performance, security, and reliability in a