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Data & Analytics - Manufacturing Software, Analytics & AI Engineer

Wet Coast Logistics · Greenville, SC, US

Spotted 1d agoFull-time / Contract

Job details

Pay
$61.00 – $67.00 an hour
Work mode
On-site
Employment
Full-time / Contract
Posted
Nov 11, 2026
Last confirmed open
Nov 11, 2026
Job function
Software/Internet/AI › Machine Learning & AI › AI Engineer
Job description

About this role

CLIENT HIGHLIGHT

The client you will be working for is a Fortune 500 Energy and Industrial Technology Company. This opportunity will give you experience in the energy transition sector with a company that is a globally recognized leader in power generation, wind energy, electrification, and grid solutions — and one of the most storied industrial brands in the world.

LOCATION

Greenville, South Carolina, 29615

COMPENSATION

$61.00–$67.00 per hour

SCHEDULE

Monday-Friday, 40 hours

Onsite

CONTRACT TERM

1 year contract with a high likelihood of extension or conversion to full time

POSITION OVERVIEW – Data & Analytics - Manufacturing Software, Analytics & AI Engineer

You'll build the software, analytics, and AI tools that help a manufacturing plant work smarter.

You'll spend time with CNC programmers, operators, manufacturing engineers, maintenance technicians, and quality engineers to see how work really gets done, then build something that makes it easier, such as comparing machining processes in Siemens NX, helping technicians find past maintenance history, automating a repetitive engineering task, or making an engineering change visible to the people it affects.

You'll work alongside the engineers building these tools today, take ownership of some of them, and lead new projects from the first question on the shop floor through rollout and ongoing support.

RESPONSIBILITIES

Develop Engineering Applications and Automation

  • Build and maintain utilities, integrations, and user interfaces for manufacturing workflows
  • Work with users to define the problem, test a solution on representative cases, and refine it through hands-on use

Make Manufacturing Data Usable

  • Connect records from CAD/CAM, CNC equipment, maintenance, quality, and engineering systems as the project requires
  • Preserve source references, units, and revision history so users can trace a finding back to the records behind it

Apply Analytics and AI to Engineering Questions

  • Help teams compare processes, investigate recurring problems, and retrieve relevant prior work
  • Evaluate results with domain experts, including cases where records are incomplete or the available evidence cannot answer the question

Improve Engineering Change Communication

  • Develop ways for teams to see what changed, why it changed, what has been verified, and who needs to act
  • Fit that information into existing workflows such as source-file reviews, shift pass-downs, and production support

Build Shared Technical Ownership

  • Troubleshoot existing applications, maintain version-controlled code and documentation, and train colleagues to support them independently
  • Coordinate validation and rollout with the people responsible for the affected process

REQUIRED QUALIFICATIONS/SKILLS

  • Experience delivering a software, analytics, or automation solution that people use in an engineering or industrial environment
  • Practical programming experience in Python, C#, or a comparable language, plus experience working with structured data, APIs, or system integrations
  • Ability to investigate an unfamiliar process alongside the people who perform it, translate their needs into a workable design, and explain the result in plain language
  • Experience testing, documenting, and supporting your work after release
  • A degree in engineering, computer science, data analytics, or a related discipline, or equivalent practical experience

Preferred (depth in one or more of these areas)

  • CNC machining and CAD/CAM
  • Siemens NX or NX Open
  • Industrial data engineering
  • Maintenance or quality systems
  • Engineering application development
  • Applied AI evaluation

MUST HAVE

  • Practical programming experience in Python, C#, or a comparable language
  • Experience with structured data, APIs, or system integrations
  • Experience delivering and supporting a software, analytics, or automation solution used in an engineering or industrial environment
  • Degree in engineering, computer science, data analytics, or a related field, or equivalent practical experience
Interested in this role?Continue on Wet Coast Logistics's careers page.
Apply on Wet Coast Logistics