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Remote Advanced Process Control Engineer Jobs in New York

TMS

Control-M Developer - Data Engienering

Edison, NJ · Remote

$50.50 - $69/hr

Remote Experience: 10+ years Duration: 6+ Months Employment Type: Contract Job Summary We are ... Use shell scripting / Python for automation and data processing * Implement CI/CD best practices ...

Daikin

HVAC Control Center Specialist

Queens, NY · Remote

... advanced education and work experience • Manages projects and processes while working ... Manager, Digital Tools and Remote Monitoring Salary Range$72,810.00 to $91,040.00 USD Qualified ...

Generac

Senior Controls Engineer

Stamford, CT · On-site +1

$115K - $155K/yr

The Senior Controls Engineer serves as the technical lead for advanced microgrid control system ... Lead onsite and remote startup and commissioning activities, including development and execution of ...

Generac

Senior Controls Engineer

Jersey City, NJ · On-site +1

$115K - $155K/yr

The Senior Controls Engineer serves as the technical lead for advanced microgrid control system ... Lead onsite and remote startup and commissioning activities, including development and execution of ...

Mercor

STEM Expert - Fully Remote

New York, NY · Remote

$70 - $100/hr

... Civil Engineering , Materials Science , or another STEM discipline. * 3+ years of research ... Application Process (Takes 20-30 mins to complete) * Upload resume * AI interview based on your ...

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Remote Advanced Process Control Engineer information

How does a Remote Advanced Process Control Engineer typically collaborate with on-site teams to implement and optimize control strategies?

A Remote Advanced Process Control Engineer frequently works closely with on-site engineers, operators, and IT staff through virtual meetings, remote access tools, and shared project platforms. Communication is key, as remote engineers must clearly explain technical recommendations and work through troubleshooting steps with local personnel. Regular check-ins, detailed documentation, and screen-sharing sessions help bridge the distance, ensuring that control strategies are effectively implemented and performance improvements are tracked. Building strong relationships and maintaining responsiveness to on-site feedback are essential for remote success in this role.

What does a Remote Advanced Process Control Engineer do?

A Remote Advanced Process Control (APC) Engineer designs, implements, and optimizes control systems for industrial processes from a remote location. Their work involves developing algorithms, configuring control software, and analyzing plant data to improve efficiency, safety, and product quality. They often collaborate with onsite teams, troubleshoot issues, and ensure the control systems meet operational goals. Remote APC Engineers rely on secure networks and digital tools to monitor and adjust systems in real time, supporting industries such as oil and gas, chemicals, and manufacturing.

What is the difference between Remote Advanced Process Control Engineer vs Remote Process Control Engineer?

AspectRemote Advanced Process Control EngineerRemote Process Control Engineer
CredentialsBachelor's/Master's in Engineering, certifications in process control (e.g., CCST)Bachelor's in Engineering, certifications in process control (e.g., CCST)
Work EnvironmentIndustrial plants, automation teams, remote monitoringIndustrial plants, automation teams, remote monitoring
Industry UsageOil & gas, chemicals, manufacturingOil & gas, chemicals, manufacturing
Job FocusDesign and optimize advanced control systems, real-time monitoringImplement and maintain basic control systems, troubleshooting

The main difference is that the Remote Advanced Process Control Engineer focuses on designing and optimizing sophisticated control systems, while the Remote Process Control Engineer handles more routine control system implementation and maintenance. Both roles require similar credentials and work in comparable environments, but the advanced engineer's role involves higher-level system development and optimization.

What are the key skills and qualifications needed to thrive as a Remote Advanced Process Control Engineer, and why are they important?

To thrive as a Remote Advanced Process Control Engineer, strong expertise in process engineering, control theory, and data analysis is essential, typically supported by a degree in chemical, electrical, or control engineering. Familiarity with Distributed Control Systems (DCS), Programmable Logic Controllers (PLCs), and advanced process control software such as Aspen DMCplus or Honeywell Profit Controller is usually required. Exceptional problem-solving, remote collaboration, and communication skills help distinguish top performers in this field. These skills are vital for designing and optimizing control strategies that enhance operational efficiency, safety, and reliability in industrial environments.
What are the most commonly searched types of Advanced Process Control Engineer jobs in New York? The most popular types of Advanced Process Control Engineer jobs in New York are:
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What job categories do people searching Remote Advanced Process Control Engineer jobs in New York look for? The top searched job categories for Remote Advanced Process Control Engineer jobs in New York are:
What cities in New York are hiring for Remote Advanced Process Control Engineer jobs? Cities in New York with the most Remote Advanced Process Control Engineer job openings:
Remote Advanced Process Control Engineer jobs near you
Control-M Developer - Data Engienering

Control-M Developer - Data Engienering

TMS

Edison, NJ • Remote

$50.50 - $69/hr

Contractor

Posted 15 days ago

Job description

Job Title: Control-M Developer – Data Engineering
Location: Remote
Experience: 10+ years
Duration: 6+ Months
Employment Type: Contract
Job Summary
We are seeking an experienced Control-M Developer with strong Data Engineering expertise to design, develop, and manage enterprise-scale batch scheduling and data pipeline workflows. The ideal candidate will have hands-on experience in Control-M automation, data integration, and end-to-end data pipeline orchestration across modern data platforms.
Key Responsibilities
Control-M & Scheduling
  • Design, develop, and maintain Control-M job flows for complex batch and data workflows
  • Create and manage job dependencies, calendars, conditions, and alerts
  • Monitor, troubleshoot, and optimize batch failures and performance issues
  • Implement job automation, reruns, recovery, and SLA management
  • Collaborate with application, data, and infrastructure teams to ensure seamless scheduling
Data Engineering
  • Develop and support data pipelines using ETL/ELT tools and scripting
  • Integrate Control-M with data platforms such as:
    • Data warehouses (Snowflake, Redshift, BigQuery, Teradata, Oracle, SQL Server)
    • Big data ecosystems (Hadoop, Spark)
  • Orchestrate workflows involving file transfers (SFTP, FTP), APIs, and cloud storage
  • Support data ingestion, transformation, validation, and downstream consumption
  • Ensure data quality, reliability, and performance across pipelines
Cloud & Automation
  • Schedule and monitor workloads in AWS / Azure / GCP environments
  • Integrate Control-M with cloud-native services (S3, ADLS, Lambda, Databricks, etc.)
  • Use shell scripting / Python for automation and data processing
  • Implement CI/CD best practices for job and pipeline deployments
Required Skills & Qualifications
Must-Have
  • 5+ years of hands-on experience as a Control-M Developer / Scheduler
  • Strong experience in Data Engineering or ETL development
  • Proficiency in Unix/Linux shell scripting
  • Strong SQL skills for data validation and troubleshooting
  • Experience supporting enterprise batch processing environments
Nice-to-Have
  • Experience with Python, Spark, or Scala
  • Exposure to cloud-based data platforms (Snowflake, Databricks, BigQuery)
  • Knowledge of CI/CD tools (Git, Jenkins, Azure DevOps)
  • Experience with monitoring tools and SLA reporting
  • Control-M certification is a plus
Soft Skills
  • Strong analytical and troubleshooting skills
  • Ability to work in fast-paced, production-critical environments
  • Excellent communication and cross-team collaboration
  • Ownership mindset with attention to detail