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Mes Controls Engineer Jobs in Manchester, NH (NOW HIRING)

Data Engineer

Nashua, NH ยท On-site

$90 - $130/hr

... controls, pipeline orchestration, and data governance concepts. * Experience integrating data from ERP, MES, PLM, QMS, manufacturing, engineering, or operational systems strongly preferred.

Data Engineer

Nashua, NH ยท On-site

$115K - $138K/yr

... controls, pipeline orchestration, and data governance concepts. * Experience integrating data from ERP, MES, PLM, QMS, manufacturing, engineering, or operational systems strongly preferred.

Data Engineer

Nashua, NH ยท On-site

$115K - $138K/yr

... controls, pipeline orchestration, and data governance concepts. * Experience integrating data from ERP, MES, PLM, QMS, manufacturing, engineering, or operational systems strongly preferred.

Manufacturing Engineer Intern

Chelmsford, MA

$17.50 - $22.50/hr

... System (MES). * Perform data analysis to optimize processes, ensure Statistical Process Control ... S. Department of State - Directorate of Defense Trade Controls. As such, applicants for this ...

Establish process controls, inspection points, and quality checkpoints. * Document first article ... Experience with ERP, PLM, or MES systems. * Lean Manufacturing or Six Sigma experience. What ...

Establish process controls, inspection points, and quality checkpoints. * Document first article ... Experience with ERP, PLM, or MES systems. * Lean Manufacturing or Six Sigma experience. What ...

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Showing results 1-20

Mes Controls Engineer information

See Manchester, NH salary details

$54.8K

$96.2K

$130.4K

How much do mes controls engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for mes controls engineer in Manchester, NH is $96,156.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,100.00 and $107,500.00 per year, depending on experience, location, and employer.

What is a MES Controls Engineer?

MES Controls Engineers are professionals who design, implement, and maintain Manufacturing Execution Systems (MES) and their integration with industrial control systems. They bridge the gap between production-floor equipment and higher-level business systems, ensuring seamless data flow and process automation. Their responsibilities include configuring MES software, developing interfaces with PLCs and SCADA systems, troubleshooting, and optimizing manufacturing processes for efficiency and quality. MES Controls Engineers play a crucial role in digital manufacturing and Industry 4.0 initiatives.

What are the key skills and qualifications needed to thrive as a MES Controls Engineer?

To excel as a MES Controls Engineer, you need a solid background in electrical engineering, automation, and manufacturing processes, typically supported by a relevant engineering degree. Familiarity with Manufacturing Execution Systems (MES), PLC programming, SCADA, and certifications like Siemens or Rockwell Automation are highly valuable. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills for collaborating with cross-functional teams and troubleshooting complex systems. These competencies are critical to ensuring seamless integration, efficiency, and reliability in automated manufacturing environments.

What are some common challenges faced by MES Controls Engineers when integrating new manufacturing equipment with existing MES systems?

MES Controls Engineers often encounter challenges such as ensuring compatibility between new equipment and legacy MES platforms, managing data consistency, and minimizing production downtime during integration. They must carefully coordinate with IT, production, and automation teams to map control logic and data flows accurately. Troubleshooting unexpected communication issues and aligning equipment protocols with MES requirements are also typical hurdles. Effective planning, thorough testing, and clear cross-functional communication help mitigate these challenges and ensure smooth system integration.

What is the difference between Mes Controls Engineer vs Automation Engineer?

AspectMes Controls EngineerAutomation Engineer
CredentialsTypically requires a degree in engineering, PLC certifications, and knowledge of MES systemsRequires a degree in engineering or computer science, PLC and robotics certifications
Work EnvironmentManufacturing plants, focusing on MES system integration and controlFactories, focusing on automation system design and implementation
Industry UsageUsed in manufacturing to manage production data and workflowsUsed across industries to automate machinery and processes

The Mes Controls Engineer primarily focuses on integrating and managing Manufacturing Execution Systems within production environments, ensuring data flow and process control. In contrast, the Automation Engineer designs and implements automation solutions, including robotics and control systems. Both roles require technical skills and work in manufacturing settings, but their core responsibilities differ in scope and focus.

What are popular job titles related to Mes Controls Engineer jobs in Manchester, NH?

For Mes Controls Engineer jobs in Manchester, NH, the most frequently searched job titles are:

What job categories do people searching Mes Controls Engineer jobs in Manchester, NH look for?

The top searched job categories for Mes Controls Engineer jobs in Manchester, NH are:

Infographic showing various Mes Controls Engineer job openings in Manchester, NH as of August 2026, with employment types broken down into 89% Full Time, 6% Part Time, and 5% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $96,156 per year, or $46.2 per hour.

Data Engineer

Amphenol ICC

Nashua, NH โ€ข On-site

$90 - $130/hr

Other

Re-posted 5 days ago


Job description

Data Engineer

Location: Nashua, NH

The Data Engineer will support the Information Systems Lead by building and maintaining the data pipelines, integrations, lakehouse structures, and curated data products required for scalable analytics, automation, and AI readiness across CBS.

Responsibilities

  • Design, build, test, and maintain scalable data pipelines from priority source systems into the CBS cloud/lakehouse environment.
  • Integrate data from enterprise and functional systems including ERP, MES, PLM, QMS, SI/test data, SharePoint/file repositories, Azure SQL, and other business platforms.
  • Implement ETL/ELT patterns, data transformations, and medallion architecture layers including raw, cleaned, curated, and businessโ€‘ready datasets.
  • Develop data quality checks, validation logic, reconciliation methods, exception handling, and monitoring to ensure trusted and reliable data products.
  • Support secure onโ€‘premโ€‘toโ€‘cloud data integration patterns including database/API connectivity, fileโ€‘based ingestion, scheduled refreshes, and batch or eventโ€‘based processing.
  • Partner with the IS Lead to develop data models, semantic layers, standardized KPIs, and reusable data assets that support dashboards, analytics, automation, and AI use cases.
  • Partner with the Data Analyst and Business Analyst to understand reporting requirements, business definitions, and functional data needs.
  • Support the AI Solutions & Automation team by preparing AIโ€‘ready datasets, defining data access patterns, and ensuring data products are governed, reliable, and reusable.
  • Build and maintain orchestration, scheduling, logging, alerting, and pipeline documentation to support production operations and sustainment.
  • Collaborate with corporate IT, security teams, and data owners to implement access controls, data lineage, naming standards, environment controls, and data governance requirements.
  • Support implementation partners and vendors during architecture, pipeline build, sourceโ€‘system integration, testing, documentation, and handoff activities.
  • Troubleshoot data issues, performance problems, refresh failures, and sourceโ€‘system changes that affect downstream analytics or automation capabilities.
  • Contribute to continuous improvement of data engineering standards, development practices, documentation, and reusable pipeline patterns.
  • Travel as required to support global operations and sourceโ€‘system discovery or deployment activities.
  • Perform other duties and responsibilities as required to support the growth and success of the business.

Qualifications

  • BS in Computer Science, Information Systems, Data Engineering, Data Analytics, Engineering, or related field.
  • 3โ€“7+ years of experience in data engineering, analytics engineering, ETL/ELT development, data integration, or cloud data platform implementation.
  • Strong SQL skills and experience building data models, transformations, joins, validations, and productionโ€‘ready datasets.
  • Experience with Python, PySpark, notebooks, or comparable data engineering tools strongly preferred.
  • Experience with modern cloud data platforms such as Microsoft Fabric, Azure Data Lake, Azure Data Factory, Synapse, Databricks, Snowflake, or comparable platforms.
  • Familiarity with lakehouse architecture, medallion data structures, semantic models, data quality controls, pipeline orchestration, and data governance concepts.
  • Experience integrating data from ERP, MES, PLM, QMS, manufacturing, engineering, or operational systems strongly preferred.
  • Experience with APIs, file ingestion, database extraction, scheduled refreshes, and onโ€‘premโ€‘toโ€‘cloud data movement preferred.
  • Familiarity with Power BI, semantic models, DAX, or business intelligence consumption patterns preferred.
  • Experience with Git, DevOps practices, deployment management, testing, monitoring, and documentation preferred.
  • Strong analytical, troubleshooting, communication, and problemโ€‘solving skills.
  • Ability to work with business stakeholders, technical teams, and external partners to translate sourceโ€‘system data into reliable businessโ€‘ready assets.
  • Travel required as needed to support global sites and data integration activities.

Amphenol Corporation is an Equal Opportunity Employer โ€“ Minority, Female, Disabled, Veteran, Sexual Orientation, Gender Identity, National Origin.

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