Manufacturing Engineer

The Manufacturing Engineer supports daily plant operations by improving process capability, equipment reliability, and manufacturing efficiency in a hands-on, shop-floor-focused role. This position designs, implements, and sustains manufacturing processes that enhance safety, people, quality, delivery, and cost (SPQDC). Working closely with operations, quality, maintenance, and controls teams, the engineer troubleshoots chronic issues, supports automation initiatives, and drives standardized work across production lines. The role serves as a key technical resource for the plant, delivering practical engineering solutions that strengthen process stability and overall operational performance.

Responsibilities

• Provide day-to-day engineering support for production lines to ensure safe, stable, and capable manufacturing processes.
• Develop and maintain standardized work, process documentation, job instructions, and PFMEA to support consistent operations.
• Lead root-cause analysis for quality escapes, bottlenecks, downtime, and scrap issues, implementing effective corrective actions.
• Support Tier meetings by providing data-driven insights on process performance, including Cpk/Ppk, scrap, and downtime metrics.
• Partner with operations and quality teams to quickly and permanently resolve process and product issues.
• Drive waste elimination using Lean tools such as time studies, line balancing, standard work, 5S, PDCA, and Kaizen activities.
• Participate in structured problem-solving activities, including 5-Why, Fishbone diagrams, and RCCM, to eliminate chronic losses.
• Support the Lean Operating System within the plant and ensure that engineering elements are implemented and sustained on the floor.
• Identify opportunities for process simplification to improve throughput, enhance quality, and reduce manufacturing cost.
• Assist with implementation of plant automation projects, including robotics, sensors, vision systems, and PLC upgrades.
• Collaborate with maintenance and controls teams to troubleshoot equipment performance issues and optimize machine uptime.
• Recommend and validate new tooling, jigs, fixtures, and equipment modifications that improve safety, repeatability, and consistency.
• Assist with the deployment and use of MES, IoT, or other digital factory tools to enhance process visibility and traceability.
• Support Total Productive Maintenance (TPM) initiatives with engineering input to improve machine reliability and reduce unplanned downtime.
• Analyze downtime data to identify recurring equipment failures and implement permanent corrective actions.
• Collaborate with maintenance on preventive maintenance tasks, equipment centerlines, and predictive maintenance enhancements, including MTBF and MTTR improvements.

• Proven experience in manufacturing engineering with a focus on supporting daily plant operations and production lines.
• Strong background in process engineering and process improvement within a manufacturing environment.
• Hands-on experience with Lean manufacturing principles and tools, including standard work, 5S, PDCA, and Kaizen.
• Ability to perform and interpret time studies and line balancing to improve efficiency and throughput.
• Demonstrated skill in root-cause analysis and structured problem-solving methods such as 5-Why, Fishbone, and RCCM.
• Experience applying Six Sigma or similar methodologies to improve process capability and reduce variation.
• Capability to analyze and act on process performance metrics such as Cpk, Ppk, scrap rates, and downtime.
• Familiarity with TPM practices and reliability concepts, including MTBF and MTTR, to support improved equipment performance.
• Experience working with automation technologies such as robotics, sensors, vision systems, and PLC-controlled equipment.
• Ability to collaborate effectively with operations, quality, maintenance, and controls teams in a plant environment.
• Strong documentation skills for creating and maintaining standardized work, job instructions, and PFMEA.

• Experience with MES, IoT, or digital factory tools to enhance process visibility and traceability.
• Exposure to CMMS systems to support maintenance planning and equipment reliability initiatives.
• Knowledge of cost savings methodologies and the ability to identify and implement cost reduction opportunities.
• Experience recommending or designing tooling, jigs, and fixtures to improve safety, ergonomics, and process consistency.
• Participation in highly visible Lean projects or continuous improvement initiatives.
• Familiarity with vision systems and advanced automation integration in a production environment.

The role operates in both office and manufacturing environments, combining desk-based engineering work with frequent presence on the shop floor. You will work closely with production, maintenance, quality, and controls teams around automated and semi-automated equipment, including robotics, PLC-controlled systems, sensors, and vision systems. The position involves active engagement in Lean and continuous improvement activities, data analysis, and hands-on process troubleshooting in a plant setting. Dress code typically aligns with a professional manufacturing environment, including appropriate safety gear and personal protective equipment as required on the production floor. The position offers a contract-to-hire path and the opportunity to contribute to highly visible Lean and process improvement projects.

Job Type & Location

This is a Contract position based out of Pensacola, FL.

The pay range for this position is $38.00 - $45.00/hr.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following:
• Medical, dental & vision
• Critical Illness, Accident, and Hospital
• 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available
• Life Insurance (Voluntary Life & AD&D for the employee and dependents)
• Short and long-term disability
• Health Spending Account (HSA)
• Transportation benefits
• Employee Assistance Program
• Time Off/Leave (PTO, Vacation or Sick Leave)

This is a fully onsite position in Pensacola,FL.

This position is anticipated to close on May 13, 2026.

About Actalent

Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email actalentaccommodation@actalentservices.com for other accommodation options.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.

Salary : $38 - $45