Process Engineer

Process Engineer – (South) Dallas, TX

Direct Hire

Salary plus benefits

Interview Process: 3 rounds  with final being an on-site.

We are seeking a proactive Process Engineer to serve as a process and equipment reference-state owner for critical manufacturing systems at our Dallas, Texas facility. This role is accountable for defining, protecting, and continuously improving the fundamental conditions under which machines and processes operate to deliver stable, repeatable, and optimal performance.

The Process Engineer proactively ensures that equipment operates in its designed reference state, and that robust processes exist to keep it there. From this stable foundation, the role applies Six Sigma, advanced analytics, AI-enabled tools, and structured continuous improvement methods to systematically reduce process variation, increase equipment uptime, and improve OEE, cost, and throughput.

 Success in this role requires strong informal leadership—clearly defining “what right looks like,” aligning operations and maintenance around standards, and driving sustained participation in improvement efforts without relying on positional authority.

Reference State Ownership and Process Control:

·         Serve as process owner for assigned manufacturing systems, with accountability for defining, documenting, and maintaining optimal machine and process reference states.

·         Establish critical settings, operating windows, control limits, and monitoring strategies required for stable operation.

·         Develop and implement proactive processes, standards, and checks to prevent drift, degradation, or uncontrolled variation.

·         Ensure reference states are clearly communicated, understood, and practically usable by operations and maintenance teams.

·         Variation Reduction and Performance Improvement

·         Continuously analyze process and equipment performance relative to reference conditions to identify leading indicators of instability.

·         Apply Six Sigma, statistical process control, AI-enabled analytics, and other advanced tools to reduce variation and improve predictability.

·         Lead structured root cause investigations using direct equipment observation, collaboration with operators and mechanics, and rigorous data analysis.

·         Design, execute, and validate structured trials to confirm causal relationships and sustainable improvements.

Reliability, Uptime, and KPI Accountability:

·         Drive improvements in key manufacturing metrics, including but not limited to:

·         Uptime

·         Run Rate

·         Waste

·         Quality

·         Translate technical findings into measurable business impact and clearly communicate results to plant leadership.

Informal Leadership and Cross-Functional Engagement:

• ·         Act as a technical leader who defines and promotes “what right looks like” for process stability and equipment care.
• ·         Influence operations, maintenance, and controls teams through clarity, credibility, and data—not positional authority.
• ·         Facilitate participation in improvement efforts by building shared understanding of standards, risks, and benefits.
• ·         Collaborate closely with production, maintenance, engineering, and contractors to ensure safe, effective, and sustainable execution.
• ·         Strong verbal and digital communication skills.

Project and Implementation Support:

·         Scope improvement and capital projects, develop budgets, perform cost-benefit analyses, and request funding as required.

·         Specify instrumentation, controls, and data collection required to maintain reference states and detect early degradation.

·         Support installation, startup, commissioning, and optimization of process changes to ensure gains are achieved and sustained.

·         Participate in daily production meetings, weekly department meetings, monthly shift meetings, and required safety training.

·         Develop and maintain technical documentation, standards, trial records, and change histories to support long-term control and knowledge retention.

·         Travel occasionally for training, benchmarking, or professional development.

Education and Experience Requirements:

·         Bachelor’s degree in Engineering from an accredited university.

·         Minimum of three (3) years of experience in a manufacturing or industrial environment.

·         Demonstrated history of self-directed problem identification and resolution, not solely assigned project execution.

·         Strong mechanical intuition, systems thinking, and analytical problem-solving skills.

·         Proven ability to work effectively with hourly and salaried personnel across operations, maintenance, and engineering.

Desired Skills:

• ·         Experience in a continuous-web manufacturing, and asphalt processes.
• ·         Practical application of Six Sigma, SPC, or related statistical methodologies in manufacturing.
• ·         Experience using advanced analytics, automation data, or AI-enabled tools for process monitoring and improvement.
• ·         Proficiency with AutoCAD and technical documentation.
• ·         Experience with Minitab and SQL Server Management Studio.
• ·         Familiarity with manufacturing systems and controls platforms, including Cognex Vision Systems, SAP, Siemens Step7 and TIA Portal, VFDs, DeltaV, and AVEVA System Platform