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Specialist, Manufacturing Engineering; Statistical Process Control

Job in Camden, Ouachita County, Arkansas, 71701, USA
Listing for: Harris Geospatial Solutions
Full Time position
Listed on 2025-12-26
Job specializations:
  • Engineering
    Manufacturing Engineer, Process Engineer
Job Description & How to Apply Below
Position: Specialist, Manufacturing Engineering (Statistical Process Control)

L3

Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers’ mission and quest for professional growth. L3

Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do.

L3

Harris Technologies is the Trusted Disruptor in the defense industry. With customers’ mission‑critical needs always in mind, our employees deliver end‑to‑end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security.

Job Title:

Specialist, Manufacturing Engineering (Statistical Process Control) Job Code: 31782

Job Location:

Camden, AR

Job Schedule:

4/10:
Employees work 10 hour days, 4 days a week

Job Description

We are looking for a Specialist, Manufacturing Engineer (Statistical Process Control) to join our expanding team in Camden, AR. The Manufacturing Engineer will be responsible for developing, implementing, and analyzing Manufacturing Engineering Metrics and Automation projects utilizing various Microsoft Power Suite Applications. They will communicate with both internal and external customers, define and develop manufacturing engineering tools, strategies, and systems, and oversee their transfer.

The candidate will develop manufacturing strategies for specific products and processes, work with cross‑functional teams to create tools that enhance productivity and efficiency, estimate and track manufacturing costs, establish time standards, and recommend tooling and process requirements for new or existing product lines. Additionally, they will maintain records and reporting systems to coordinate manufacturing operations.

Essential Functions
  • Develop, implement, and analyze Statistical Process Control (SPC) metrics using Microsoft Power Apps and Power BI.
  • Data mine using Snowflake to extract, transform, and load data for analysis.
  • Create and maintain process documentation and work instructions related to SPC and data analytics.
  • Identify and implement process improvements and projects using data‑driven insights.
  • Establish root cause and corrective actions using statistical methodologies and structured problem‑solving tools.
  • Support production validation builds by providing data analytics insights on new or modified processes.
  • Oversee the integration of data analytics tools and dashboards to enhance manufacturing operations.
  • Define and implement production system standards, including staffing models, ensuring data‑driven decisions.
  • Provide training and support to Engineers and Technicians on SPC and data analytics tools and methodologies.
  • Maintain records and reporting systems to ensure effective coordination of manufacturing operations through data analytics.
Qualifications
  • Bachelor’s Degree and minimum 4 years of prior relevant engineer experience. Graduate Degree and a minimum of 2 years of prior related engineer experience. In lieu of a degree, minimum of 8 years of prior related engineer experience.
  • 4 years of experience in Manufacturing Engineering, Data Analytics or related roles.
Preferred Additional Skills
  • Bachelor’s degree in Mechanical Engineering, Software Engineering, Computer Science, or a related STEM field.
  • Experience in Microsoft Power Suite applications (e.g., Power Apps, Power BI).
  • Experience in automation and data analytics.
  • Self‑starter who is able to operate with minimal supervision in a fast‑paced environment.
  • Understanding of manufacturing systems, production processes, technical standards, and assembly equipment.
  • Understanding of Lean principles and Six Sigma methodologies.
  • Knowledge of data mining with Snowflake is a plus.

L3

Harris Technologies is proud to be an Equal Opportunity Employer. L3

Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national…

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