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# Data Engineer

- **Company:** SGS Consulting
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Business Process Management, Capability Maturity Model Integration, Computer Engineering, Information Engineering, Extract Transform Load (ETL), Data Systems, PC Tools, Python (Programming Language), Microsoft SharePoint, Information Technology, Data Management
- **Published:** September 18, 2026
- **Apply:** https://www.dice.com/job-detail/0ebab277-136a-4388-ba68-279cfaebe3c7

## About the Role

Ability to work as part of a team, as well as work independently or with minimal direction.
Excellent written, presentation, and verbal communication skills..
Collaborate with data architects, modelers and IT team members on project goals.
Strong PC skills including knowledge of Microsoft SharePoint.

Education: Bachelor's degree in a technical field such as computer science, computer engineering or related field required.
Years of overall experience required: 8+ years of experience

Note - Process certification, such as, Six Sigma, CBPP, BPM, ISO 20000, ITIL, CMMI

Must hard Skills:
Experience with Python and qual.
Ability to work as part of a team, as well as work independently or with minimal direction.
Excellent written, presentation, and verbal communication skills.
Strong PC skills including knowledge of Microsoft SharePoint.
Prior experience with Operational work.

Nice to haves:
Prior experience setting up model evaluations.
Prior Experience running and evaluating model measurement pipelines.
Preferred pervious us.
Process certification, such as, Six Sigma, CBPP, BPM, ISO 20000, ITIL, CMMI., Interview Process: 1st round interview | screening/technical ( past projects and past experience of candidates ) ( Coder pad - Python )

## Description

The main function of the Data Engineer is to develop, evaluate, test and maintain architectures and data solutions within our organization. The typical Data Engineer executes plans, policies, and practices that control, protect, deliver, and enhance the value of the organization s data assets. This role requires working on model evaluations and orchestration so prior experience here would be a plus., Manage data engineering projects through the full cycle.
Identify and underline business initiatives from a data engineering perspective
Design, construct, install, test and maintain highly scalable data management systems.
Ensure systems meet business requirements and industry practices.
Design, implement, automate and maintain large scale enterprise data ETL processes.
Build high-performance algorithms, prototypes, predictive models and proof of concepts.


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