2

Remote Pipeline Operator Jobs in New York (NOW HIRING)

Lead the design, implementation, and management of cloud infrastructure and deployment pipelines ... and operating controls in accordance with FedRAMP Moderate or High requirements. * Strong ...

Location: Remote (United States) Work Model: Remote Industry: Cloud infrastructure cost ... You will own the full sales cycle end to end, from self-sourced pipeline through multi-threaded ...

next page

Showing results 1-20

Remote Pipeline Operator information

See New York salary details

$18

$27

$34

How much do remote pipeline operator jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for remote pipeline operator in New York is $27.56, according to ZipRecruiter salary data. Most workers in this role earn between $22.88 and $31.01 per hour, depending on experience, location, and employer.

What is a remote pipeline operator?

A Remote Pipeline Operator is a professional responsible for monitoring, controlling, and maintaining the flow of materials—such as oil, gas, or water—through pipelines using remote systems. They use specialized computer software and control systems to oversee pipeline operations from a centralized location, often far from the physical pipeline site. Their duties include responding to alarms, adjusting flow rates, coordinating with field crews, and ensuring safety and environmental regulations are met. Remote Pipeline Operators are essential for the efficiency and safety of modern pipeline infrastructure.

How do remote pipeline operators typically communicate and coordinate with field technicians to address pipeline issues?

Remote Pipeline Operators frequently collaborate with field technicians via digital communication tools such as SCADA systems, radios, and secure messaging platforms. When a potential issue or alarm is detected from the control center, operators provide field teams with detailed information about locations, system readings, and recommended actions. Effective communication is vital to ensure safety, timely repairs, and minimize downtime. Operators often participate in regular briefings and maintain clear records to support seamless teamwork and operational efficiency.

What are the key skills and qualifications needed to thrive as a remote pipeline operator, and why are they important?

To thrive as a Remote Pipeline Operator, you need a solid understanding of pipeline systems, safety protocols, and operational procedures, often supported by technical training or relevant certifications. Familiarity with SCADA systems, remote monitoring tools, and compliance software is typically required. Strong attention to detail, problem-solving abilities, and effective communication are crucial soft skills for identifying and responding to anomalies. These skills and qualities are essential for ensuring safe, efficient, and uninterrupted pipeline operations from a remote location.

What do remote pipeline operators make?

Remote pipeline operators typically earn between $60,000 and $100,000 annually, depending on experience, location, and company size. They monitor and control pipeline systems using specialized software and equipment, often working shifts that require technical skills and safety certifications.

What job categories do people searching Remote Pipeline Operator jobs in New York look for?

The top searched job categories for Remote Pipeline Operator jobs in New York are:

What cities in New York are hiring for Remote Pipeline Operator jobs?

Cities in New York with the most Remote Pipeline Operator job openings:

MLOps Engineer / Unicorn Startup / Remote

Motion Recruitment

NY • Remote

Full-time

Medical, Dental, Vision, Life, PTO

Posted 2 days ago

New


Job description


A rapidly growing health technology company is seeking a Senior MLOps Engineer to help scale the next generation of machine learning-powered products. This is a full-time remote opportunity focused on AWS, Python, ML infrastructure, and large-scale deployment systems. The organization combines cutting-edge hardware, sensor technology, and artificial intelligence to deliver measurable outcomes for a global customer base.
This opportunity is ideal for engineers who enjoy building infrastructure that powers real-world machine learning systems. Rather than focusing exclusively on model development, this role centers on designing and operating the platforms, pipelines, and deployment frameworks that make machine learning reliable, scalable, and efficient in production. The organization values ownership, technical excellence, and collaboration, offering significant influence over long-term platform strategy and product innovation.
Required Skills & Experience
  • 5+ years of software engineering experience
  • Strong Python development experience
  • Production MLOps experience
  • Expertise deploying machine learning workloads in AWS
  • Experience designing CI/CD pipelines for model deployment
  • Distributed systems knowledge
  • Infrastructure automation experience
  • Monitoring, telemetry, and observability expertise
  • Experience supporting large-scale production environments
Desired Skills & Experience
  • IoT or connected-device experience
  • Kafka, Kinesis, or Flink
  • Health-tech or wearable device experience
  • ML platform engineering
  • Cost optimization within cloud environments
  • Real-time inference systems
  • Startup experience
  • Staff-level engineering experience
What You Will Be Doing
Tech Breakdown
  • 40% AWS Infrastructure
  • 30% Machine Learning Platform Engineering
  • 20% Distributed Systems & Data Pipelines
  • 10% Monitoring & Performance Optimization

Daily Responsibilities
  • 75% Hands On Engineering
  • 10% Architectural Leadership
  • 15% Team Collaboration

The Offer
  • Competitive Salary
  • Substantial Equity
You will receive the following benefits:
  • Medical, Dental, and Vision Insurance
  • Flexible PTO
  • Equity Participation
  • Paid Parental Leave
  • Life Insurance
  • Remote Flexibility
  • Employee Product Benefits

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
#LI-CD1