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Remote Load Control Agent Jobs in New York (NOW HIRING)

Control-M Developer - Data Engienering

Edison, NJ ยท Remote

$50.50 - $69/hr

Remote Experience: 10+ years Duration: 6+ Months Employment Type: Contract Job Summary We are ... Develop and support data pipelines using ETL/ELT tools and scripting * Integrate Control-M with ...

Data Engineer (Coding Agent Experience) Type: Contract Compensation: $80/hour Location: Remote Role ... Review model-generated implementations involving ETL pipelines , data warehouses , analytics ...

The agent acts on its own and sometimes gets it wrong, and your job is to make people trust it with ... Design how people stay in control: a propose-and-approve flow that stops a bad action without ...

Life Insurance Agent

Corona, NY ยท Remote

$50K - $100K/yr

Kimbrell Agency Remote Employment Type: Contractor Compensation $50,000 to $100,000 per year (plus ... If you're ready to take control of your future and create a career you can be proud of, we'd love ...

Life Insurance Agent

Brooklyn, NY ยท Remote

$50K - $100K/yr

Kimbrell Agency Remote Employment Type: Contractor Compensation $50,000 to $100,000 per year (plus ... If you're ready to take control of your future and create a career you can be proud of, we'd love ...

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Remote Load Control Agent information

What is the difference between Remote Load Control Agent vs Remote Load Control Technician?

AspectRemote Load Control AgentRemote Load Control Technician
CredentialsTypically requires certification in load management or utility operationsRequires technical certifications in electrical or control systems
Work EnvironmentPrimarily office-based with remote monitoring dutiesFieldwork involving installation and maintenance of control systems
Industry UsageCommon in utility companies managing energy loads remotelyUsed in utility and energy sectors for system maintenance

The Remote Load Control Agent focuses on monitoring and managing energy loads remotely, often from an office setting, while the Remote Load Control Technician handles hands-on installation and maintenance of control systems. Both roles are essential in energy management but differ mainly in their responsibilities and work environment.

What are the primary challenges faced by Remote Load Control Agents and how can they be managed effectively?

Remote Load Control Agents often work under tight deadlines, balancing accuracy and efficiency in calculating aircraft weight and balance from a distance. The main challenges include coordinating with multiple teams across different locations, adapting to changing flight schedules, and resolving discrepancies quickly to ensure safety and regulatory compliance. To manage these effectively, agents should maintain clear communication, stay updated on airline procedures, and utilize digital tools for real-time collaboration. Proactively anticipating issues and continuous professional development also contribute to success in the role.

What is a Remote Load Control Agent?

A Remote Load Control Agent is a professional responsible for managing and monitoring aircraft weight and balance, cargo distribution, and load documentation from a remote location. They work closely with airlines and ground crews to ensure that all safety regulations and operational requirements are met before a flight departs. Using specialized software, they calculate the optimal placement of passengers, cargo, and fuel to maintain the aircraft's balance and safety. This role is crucial in reducing delays, ensuring compliance, and enhancing overall flight efficiency.

What are the key skills and qualifications needed to thrive as a Remote Load Control Agent, and why are they important?

To excel as a Remote Load Control Agent, you need strong analytical skills, attention to detail, and a solid understanding of weight and balance principles, typically supported by relevant aviation or logistics certifications. Familiarity with airline load planning software, flight operations systems, and sometimes specific certifications like IATA Dangerous Goods Awareness is essential. Outstanding communication, problem-solving abilities, and the capacity to work under pressure are important soft skills in this role. These competencies are critical to ensuring aircraft safety, regulatory compliance, and efficient flight operations.
Control-M Developer - Data Engienering

Control-M Developer - Data Engienering

TMS

Edison, NJ โ€ข Remote

$50.50 - $69/hr

Contractor

Posted 9 days ago


Job description

Job Title: Control-M Developer โ€“ Data Engineering
Location:ย Remote
Experience:ย 10+ years
Duration: 6+ Months
Employment Type:ย Contract

Job Summary
We are seeking an experienced Control-M Developer with strong Data Engineering expertiseย 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 orchestrationย across modern data platforms.

Key Responsibilities
Control-M & Scheduling
  • Design, develop, and maintain Control-M job flowsย 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 pipelinesย using ETL/ELT tools and scripting
  • Integrate Control-M with data platformsย 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 / GCPย environments
  • Integrate Control-M with cloud-native services (S3, ADLS, Lambda, Databricks, etc.)
  • Use shell scripting / Pythonย 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 platformsย (Snowflake, Databricks, BigQuery)
  • Knowledge of CI/CD toolsย (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