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Qa Engineer

Lancaster,PA

712 Qa Engineer jobs in Lancaster,PA

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QA Engineer III

ITT Cannon LLC

Lancaster, PA 17603

OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree plus 3-5 years in a competitive quality or manufacturing environment or equivalent education and experience.
  • Experience working within a highly regulated industry in a Quality Assurance function a plus.
  • Ability to read, analyze, and interpret blueprints, GD&T;, common scientific and technical journals.
  • Ability to respond to common inquiries or complaints from customers, regulatory agencies, or members of the business community.
  • Ability to effectively present information to peers and top management.
  • Ability to define problems, collect data, establish facts, and draw valid conclusions.
  • Requires strong leadership, influencing and relationship building skills.
  • Advanced Excel experience
  • Internal and external certification in Visual Examination, Polish Inspector, Non-destructive Examination, Greenbelt and Auditor Qualifications must be achieved and maintained.
  • This position requires use of information which is subject to the International Traffic in Arms Regulations (ITAR). All applicants must be U.S. persons within the meaning of ITAR.
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Director, Quality Assurance

Advanced Cooling Technologies

Lancaster, PA 17601

OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree or higher in Mechanical Engineering
  • 10+ years of progressively responsible quality leadership experience in a manufacturing environment
  • Experience leading quality operations across multiple locations
  • Experience supporting both high-mix, low-volume and high-volume manufacturing environments
  • Demonstrated success leading quality organizations through growth and operational change
  • Strong knowledge of Quality Management Systems and applicable standards, including AS9100 and ISO 9001
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Industrial Engineer

PRECISION CUSTOM COMPONENTS, LLC

York, PA 17403

~ 38 min OnsiteFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit

  • BS in Industrial Engineering
  • No prior industrial engineering experience required. This position is an entry position for a graduate industrial engineer.
  • 0-2 years of experience
  • Ability to work collaboratively with others. Must have excellent communication skills, both written and verbal.
  • Excellent computer skills required. Must have knowledge of ERP systems and Microsoft applications such as Word, Excel, Outlook, and Power Point.
  • US citizenship is required
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Process Engineer

PRL Industries

Lebanon, PA 17042

~ 32 min OnsiteEducation AssistanceHealth InsurancePaid Time Off

  • Familiarity and/or ability to learn/use/implement related manufacturing tools/concepts and read blueprints is necessary.
  • Strong computer skills and the ability to learn industry-specific software are important.
  • Candidate must possess good judgment and decision-making skills.
  • They must be able to communicate well both verbally and written with shop personnel, peers, plant management, customers, and suppliers.
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Sr Manufacturing Engineer

General Dynamics Ordnance & Tactical Systems

Red Lion, PA 17356

~ 34 min OnsiteHealth InsuranceRetirement Benefit

  • Associate's Degree and 5-7 years' experience
  • Engineering degree required
  • Proficient in Microsoft Office (Excel, Word, PowerPoint)
  • Up to 25% travel likely.
  • Must be able to remain in a stationary position at a desk and/or computer for extended periods of time.
  • Requires regular movement throughout GD-OTS facilities.
  • Work may require employee to work inside and outside with exposure to changing climate and/or operate machinery.
  • This position is Safety-Sensitive.
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Senior Manufacturing Engineer

Boyd

Lancaster, PA 17603

Onsite

  • Bachelors of Science (B.S.) degree in engineering
  • 5-10 or more years' experience
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New, Posted 14 hours ago
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Manager I Manufacturing Engineering

TE Connectivity

Landisville, PA 17538

~ 13 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree in engineering, or appropriate field
  • Minimum of 7 years of related experience with a bachelor's degree; or 5 years and a master's degree; or a PhD with 2 years' experience; or equivalent experience.
  • Progressive manufacturing engineering and leadership experience in a manufacturing environment.
  • Generally, has a minimum of 2 years of progressive people management experience
  • Strong background in process improvement, capital project management, and equipment optimization.
  • Proven ability to lead cross-functional teams and drive organizational change.
  • Experience with Lean Manufacturing, Six Sigma, TPM, and continuous improvement methodologies.
  • Strong analytical, problem-solving, and project management skills.
  • Excellent communication and leadership abilities with a collaborative, team-oriented approach.
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DiversityJobs
Laborer (Fence Installation) - urgent hire - Abel/ProMax

Pro Max Fence

Wrightsville, PA 17368

$18-$20/hr
Flexible Schedule
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Executive Chef

ARAMARK

York, PA 17408

New, Posted 1 day ago
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Senior AI Engineer (hybrid)

Johnson Controls

York, PA 17403

Remote

  • Bachelor's degree in Computer Science, Engineering, Applied Mathematics, Statistics, or a related field.
  • 5+ years in software or data engineering, with 5+ years building machine learning or AI systems that reached production and real users.
  • Demonstrated ownership of an AI/ML system in production over time - not proofs of concept. You should be able to describe what broke after launch, how you found out, and what you changed.
  • Strong Python and SQL. Depth in the modern applied stack: classical and tabular ML (gradient boosting, scikit-learn), deep learning frameworks, and LLM application patterns including retrieval, structured extraction, tool use, and evaluation.
  • Real fluency with messy enterprise data - ERP and PLM schemas, MES and historian data, semi-structured documents - and the practical experience to know that this is where most of the work lives.
  • Experience deploying and operating models in production: containerization, CI/CD, cloud ML platforms, monitoring, and cost management.
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