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Sr Process Control Engineer Jobs in Charleston, SC

The Senior Software Engineer IV will own architecture, design, and engineering of core STARLIMS ... Design and build business rules, data management, and embedded system control applications for ...

New

Senior Facilities Controls Engineer

Charleston, SC · On-site

$90K - $119K/yr

Support nationwide rollout and integration of the enterprise Supervisory Control and Data ... assessment process. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer ...

Establish and implement standards, processes, procedures, and workflows. * Provide leadership ... Strong understanding of control systems over all HVAC system types. * Experience in conducting ...

Showing results 41-60

Sr Process Control Engineer information

See Charleston, SC salary details

$70.2K

$113.3K

$159.6K

How much do sr process control engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for sr process control engineer in Charleston, SC is $113,342.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,300.00 and $125,900.00 per year, depending on experience, location, and employer.

What is a Sr process control engineer?

Sr Process Control Engineers, or Senior Process Control Engineers, are experienced professionals who design, implement, and optimize automated control systems used in manufacturing and industrial processes. They work to ensure that these systems operate efficiently, safely, and in accordance with industry standards. Their responsibilities often include developing control strategies, troubleshooting complex process issues, and collaborating with other engineering teams to improve production quality and reliability. Typically, they have several years of experience and may also mentor junior engineers or lead project teams.

How does a Sr process control engineer typically collaborate with operations and maintenance teams?

As a Sr Process Control Engineer, you will work closely with both operations and maintenance teams to ensure that control systems run smoothly and efficiently. You may be responsible for troubleshooting process irregularities, optimizing system performance, and providing technical guidance during system upgrades or shutdowns. Regular communication and collaboration with these teams are essential, as you will need their input to identify pain points and implement practical solutions. This collaborative environment helps ensure process reliability and continuous improvement across the facility.

What are the key skills and qualifications needed to thrive as a Sr process control engineer, and why are they important?

To thrive as a Sr Process Control Engineer, you need a strong background in chemical or electrical engineering, process optimization, and control systems design, often supported by a bachelor’s or master’s degree and relevant industry experience. Expertise with distributed control systems (DCS), programmable logic controllers (PLC), and software such as MATLAB or Simulink is typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you address complex issues and work collaboratively with multidisciplinary teams. These skills and qualities are crucial for ensuring safe, efficient, and reliable plant operations while driving continuous improvement.

What is the difference between Sr Process Control Engineer vs Process Control Engineer?

AspectSr Process Control EngineerProcess Control Engineer
Required CredentialsBachelor's degree in Engineering, often with 3+ years experienceBachelor's degree in Engineering or related field, entry to mid-level experience
Work EnvironmentIndustrial plants, manufacturing facilities, process industriesSimilar environments, often in manufacturing or chemical plants
Employer & Industry UsageOil & gas, chemicals, pharmaceuticals, refiningSame industries, typically as entry or mid-level roles
Common Search & ComparisonHigher responsibility, advanced skillsEntry to mid-level, foundational skills

The main difference between a Sr Process Control Engineer and a Process Control Engineer lies in experience, responsibility, and skill level. The senior role involves more complex project management and system optimization, while the process control engineer focuses on implementing and maintaining control systems. Both roles are vital in process industries and share similar work environments and industry usage.

How much does a senior process control engineer earn?

A senior process control engineer typically earns between $90,000 and $130,000 annually, depending on experience, location, and industry. They often have expertise in control systems, automation tools, and may hold certifications such as CCST or PE to enhance their earning potential.

What does a senior process control engineer do?

A senior process control engineer designs, develops, and maintains control systems used to optimize industrial processes, ensuring safety, efficiency, and reliability. They analyze process data, implement automation solutions, and may use tools like SCADA or DCS systems, often requiring knowledge of control theory and programming skills. They also troubleshoot system issues and collaborate with operations teams to improve process performance.

What job categories do people searching Sr Process Control Engineer jobs in Charleston, SC look for?

The top searched job categories for Sr Process Control Engineer jobs in Charleston, SC are:

Infographic showing various Sr Process Control Engineer job openings in Charleston, SC as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, 4% Contract, and 1% Nights. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $113,342 per year, or $54.5 per hour.

Senior AI Engineer/ Data Scientist

High Side Technology

Johns Island, SC • On-site

Full-time

Re-posted 12 days ago


Job description

Description:

The Senior Data Scientist will work on government site and as part of a distributed multi-disciplinary team. This position requires interaction with government customers at all levels of authority and technical acuity and requires the ability to communicate technical and programmatic information through excellent verbal and written communication skills.

Responsibilities:

  • Provide AI data science and engineering expertise to advise the DDI program, assisting the agency’s development and management of ML/AI and agents to augment the analytic workflows of analysts addressing DoD/IC mission priorities.
  • Employ various programming algorithms to build, test and deploy ML/AI models and agentic AI capabilities.
  • Coordinate with other team members, developers, analysts, and scientists.
  • Create and manage the AI development process and overall product infrastructure.
  • Conduct statistical analysis and interpret the results to guide an organization's decision-making process.
  • Develop infrastructures for data transformation and ingestion and automate important infrastructure for analysts and scientists.
  • Build AI models that make predictions based on large quantities of data.
  • Explain the usefulness of the AI models to a wide range of individuals within the organization, including collaborators and product managers.
  • Develop APIs to interact with other applications.
  • Establish complete and accurate system-level functional/performance requirements that are clear, traceable from strategic capabilities to validated customer and operations needs/requirements, and consistent with the program’s architecture objectives and acquisition strategy.
  • Define, plan, coordinate, and guide various technical initiatives (e.g. performance analysis, feasibility studies, constraint evaluation, cost/benefit analysis) for execution of system-level functional requirements definition and resolution of interface issues.
  • Provide technical coordination, architecture guidance, and support for DDI project development.
  • Define the milestones and control gate success criteria and evaluate entry/exit readiness during design reviews and audits to ensure protection of baselines and to assist in risk identification and resolution.
  • Plan and coordinate data management practices to treat and handle data as a resource.
  • Assist Government principals in managing system development and deployment efforts, moves or modernization changes including analysis, IT and cloud requirements, network security measures, and other factors.

Requirements

  • United States citizenship required
  • Top Secret/SCI security clearance or current Top Secret SSBI with TS/SCI eligibility required; counterintelligence (CI) polygraph may be required
  • Bachelor’s degree in a relevant technical field
  • 8+ years of experience

Desired Qualifications:

  • Master’s degree or higher in Engineering, Computer Science, Information Technology, Management Information Systems, or related STEM degree.
  • Expert-level experience in government or industry in ML/AI and agentic development
  • Experience Integrating solutions using ML/AI technologies
  • Demonstrated senior level experience leading technical integration efforts
  • Demonstrated senior level experience leading multi-system integration efforts through requirements definition, development, testing and transition.
  • Proficiency in Python (FastAPI library familiarity is a plus)
  • Familiarity with CI/CD practices using GitLab or similar tools
  • Familiarity with RESTful APIs and microservices architecture
  • Experience with database management, PostGres, ElasticSearch
  • Knowledge of containerization (Docker, Kuberne3tes, Openshift, Helm)
  • Experience with version control systems, especially Git and platforms like GitLab for CI/CD
  • Proficiency in frontend frameworks (React)
  • Strong knowledge of HTML, CSS, and JavaScript
  • Experience with state management libraries (Redux, MobX) we are using Redux for state management right now
  • Understanding of UI/UX principles
  • Familiarity with CI/CD practices using GitLab or similar tools

Additional Desired Experience:

  • Experience with processes, tools, and languages pertaining to ML/AI development
  • Experience engineering solutions using structured and unstructured Big Data, AI, and Cloud-based technologies
  • Demonstrated senior level experience integrating Geospatial Intelligence systems
  • Demonstrated senior level experience in AI engineering and integration of large complex system of systems of service-centric/Cloud environments
Requirements: