Quality Engineer at SQA Services

Duluth, Minnesota, United States

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Not SpecifiedCompensation

Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

ManufacturingIndustries

Requirements

Bachelor’s degree in engineering (Mechanical, Aerospace, or related field) or equivalent experience
Experience in hydraulic systems, electromechanical expertise, or composites
3+ years of Supplier Quality Engineering (SQE) or Quality Engineering experience, preferably with exposure to aerospace and automotive industries
Hands-on experience with production line validation, process audits, and quality gate verification
Strong knowledge of investigation tools, systems troubleshooting, and manufacturing processes
Familiarity with process performance metrics (yield, takt time, throughput)
Ability to interpret and apply manufacturing standards and quality requirements
Strong problem-solving, root cause analysis, and continuous improvement skills
Excellent communication and collaboration skills for cross-functional and supplier engagement
ITAR compliant (requires access to ITAR-controlled technical data and/or defense articles)

Responsibilities

Investigate and document nonconformances in collaboration with Engineering, Manufacturing, and Quality teams identified in manufacturing, receiving inspection, and the field
Support creation of Supplier Discrepancy Reports when responsibility lies with the supplier
Assess and validate quality gates to ensure proper placement and functionality for each manufacturing stage
Confirm that processes align with standard manufacturing practices and client requirements
Monitor process indicators (e.g., yield, takt time, throughput) to evaluate performance during validation
Provide recommendations for corrective actions, process improvements, and risk mitigation
Work closely with client and supplier teams to support resolution of quality issues
Maintain and track corrective action follow-up plans, ensuring effectiveness of implemented solutions
Document findings and prepare reports to communicate results, trends, and recommendations
Maintain an on-site presence Monday through Friday, following client direction and priorities

Skills

Nonconformance Investigation

Supplier Discrepancy Reports

Quality Gates

Process Validation

Corrective Actions

Process Improvements

Risk Mitigation

Yield Monitoring

Takt Time

Throughput

SQA Services

Quality management solutions for supply chains

About SQA Services

SQA Services offers quality management solutions for complex supply chains, partnering with Fortune 500 companies across industries like aerospace, pharmaceuticals, and medical devices. The company operates globally, acting as an extension of its clients' quality teams to manage and monitor supply chain quality efficiently. SQA uses a data-driven, risk-based approach to ensure that suppliers meet stringent quality standards, which helps clients save time and money. The goal is to provide tailored solutions that adapt to the evolving quality requirements of their clients' industries.

None, NoneHeadquarters

1995Year Founded

$282MTotal Funding

M_AND_ACompany Stage

Industrial & Manufacturing, Aerospace, Defense, Biotechnology, HealthcareIndustries

201-500Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

Paid Holidays

Paid Sick Leave

Risks

Emerging firms using AI offer more efficient, cost-effective quality management solutions.

Reshoring trends in manufacturing may reduce demand for global supply chain services.

Increasing complexity of international quality standards may lead clients to prefer in-house solutions.

Differentiation

SQA Services offers tailored quality management solutions for complex supply chains globally.

The company partners with Fortune 500 companies across high-tech, aerospace, and pharmaceutical industries.

SQA employs a data-driven, risk-based approach, leveraging best practices from automotive and aerospace.

Upsides

Increased adoption of digital twins enhances SQA's data-driven quality management approach.

AI-driven predictive analytics aligns with SQA's risk-based quality management strategy.

Growing emphasis on sustainability boosts demand for SQA's rigorous quality standards.

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