Job Title: Manufacturing Engineer
Location: Corpus Christi, TX
Employment Type: Temp (12 Months)
Industry: Aerospace and Defense
Compensation: $40.00-$60.00/Hour
Schedule: 4/10-1st Shift
About the Opportunity:
- Design and optimize manufacturing processes, layouts, and production workflows
- Ensure efficiency, quality, and compliance across production operations
- Collaborate with engineering teams to align product design with manufacturing capabilities.
Why You'll Love Working Here:
- Supportive, team-driven culture that values collaboration, transparency, and accountability.
- Opportunity to grow your career with a global workforce solutions leader serving multiple industries.
- People-first environment that encourages employees to bring their authentic selves to work.
- Strong focus on partnership, innovation, and delivering meaningful results for clients and candidates.
Why This Opportunity is Exciting:
This role offers the chance to join a company that prioritises both people and performance-where your contributions directly impact client success while giving you room to grow and develop professionally.
About Acara Solutions
Acara is a premier recruiting and workforce solutions provider-we help companies compete for talent. With a legacy of experience in various industries worldwide, we partner with clients, listen to their needs, and customize visionary talent solutions that drive desired business outcomes. We leverage decades of experience to deliver contingent staffing, direct placement, executive search, and workforce services worldwide.
Sound like a good fit?
APPLY TODAY
What You'll Do:
- Develop and implement manufacturing processes for assemblies, machining, equipment installation, and material handling
- Design plant layouts and machine arrangements to maximize efficiency and productivity
- Define operation sequences and procedures for tool fabrication and equipment usage
- Monitor machinery and equipment performance, identifying issues and driving corrective actions
- Integrate inspection, testing, and statistical process control methods into production plans.