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# Data Engineer III-6245

- **Company:** The Itd
- **Location:** San Jose, CA, United States
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Computer Engineering, Data Architecture, Information Engineering, Extract Transform Load (ETL), Data Systems, Microsoft SharePoint, Software Engineering, Enterprise Data Management, Information Technology, Data Pipelines
- **Published:** July 17, 2026
- **Apply:** https://www.sanjosejobsite.com/job.asp?id=3323529216&tx=ZT2423TTI&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* 6â??7 years of professional experience in Data Engineering.
 * Experience designing and maintaining scalable data architectures and enterprise data management systems.
 * Strong experience developing and maintaining large-scale ETL processes and data pipelines.
 * Experience building algorithms, predictive models, and proof-of-concept solutions.
 * Strong understanding of AI coding tools and AI-assisted software development.
 * Ability to work independently with minimal supervision while managing multiple priorities.
 * Proficiency with Microsoft SharePoint.
 * Strong written, verbal, and presentation communication skills.

Preferred Qualifications and Skills

 * Experience collaborating with data architects, data modelers, and cross-functional IT teams.
 * Experience working in large enterprise environments.
 * Self-driven with strong problem-solving and analytical skills.
 * Experience delivering scalable, high-performance data solutions.
 * Familiarity with modern AI-assisted development practices., Bachelor's degree in Computer Science, Computer Engineering, or a related technical field required.

## Description

* Design, develop, test, and maintain highly scalable enterprise data management systems.
 * Build, implement, automate, and optimize large-scale ETL processes and data pipelines.
 * Develop high-performance algorithms, prototypes, predictive models, and proof-of-concept solutions.
 * Ensure data architectures meet business requirements, performance expectations, and industry best practices.
 * Collaborate with data architects, modelers, and cross-functional IT teams to deliver data engineering initiatives.
 * Evaluate, maintain, and enhance existing data solutions to improve performance, reliability, and scalability.
 * Leverage AI coding tools to improve development efficiency and accelerate solution delivery.

Internal Responsibilities

 * Attend regular internal practice community meetings.
 * Collaborate with your itD practice team on industry thought leadership.
 * Complete client case studies and learning material (blogs, media material).
 * Build out material to contribute to the Digital Transformation practice.
 * Attend internal itD networking events (in person and virtual).
 * Work with leadership on career fast-track opportunities.


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