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# Data Engineer IV (6249)

- **Company:** The Itd
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Data Analysis, Business Process Management, Capability Maturity Model Integration, Computer Engineering, Information Engineering, Data Integrity, Extract Transform Load (ETL), Data Transformation, Machine Learning, AI Infrastructure, Data Processing, Information Technology, Data Management, Data Pipelines
- **Published:** July 22, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=40b3d7f55bfdd005

## About the Role

* Bachelor's degree in Computer Science, Computer Engineering, Data Engineering, or a related technical field.
 * 8+ years of experience in data engineering or a related technical discipline.
 * Experience designing and building end-to-end data pipelines from scratch using AWS.
 * Experience developing and maintaining large-scale ETL processes and enterprise data solutions.
 * Experience transforming raw data into structured, analytics-ready data models and tables.
 * Strong analytical skills with experience solving complex data engineering challenges.
 * Experience collaborating with data architects, software engineers, and cross-functional technical teams.
 * Excellent written, verbal, and presentation communication skills.

Preferred Qualifications and Skills

 * Experience supporting AI infrastructure, machine learning platforms, or inference systems.
 * Infrastructure engineering or platform engineering experience.
 * Previous experience working in large-scale technology organizations.
 * Previous experience supporting Meta or similar enterprise environments.
 * Process improvement certifications such as Six Sigma, CBPP, BPM, ISO 20000, ITIL, or CMMI., * Bachelor's degree in Computer Science, Computer Engineering, Data Engineering, or a related technical field required.

## Description

* Design, develop, and maintain end-to-end data pipelines and scalable data architectures using AWS technologies.
 * Build and optimize ETL processes that transform raw data into structured, analytics-ready datasets.
 * Design, implement, automate, and support enterprise-scale data management systems that meet business and engineering requirements.
 * Partner with AI infrastructure engineers, data architects, and cross-functional stakeholders to improve data reliability, scalability, and operational efficiency.
 * Develop high-performance data processing solutions, prototypes, and proof-of-concept implementations to support infrastructure initiatives.
 * Manage data engineering projects through the full development lifecycle, from requirements gathering to deployment and ongoing optimization.
 * Identify opportunities to improve existing data processes, enhance system performance, and implement engineering best practices.

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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