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Remote Trumpf Machine Operator Jobs in Stamford, CT

Peloton

Data Engineering Manager

New York, NY · On-site +1

This role will be hybrid, not remote. YOUR DAILY IMPACT AT PELOTON * Lead the DataOps function ... Help shape the long-term operating model for the Data Engineering team as Peloton continues to ...

Nectar Social

Staff Software Engineer

New York, NY · On-site +1

$240K - $400K/yr

At Nectar Social, we're building the AI-native social operating system that enables this new era of ... Experience integrating AI or machine learning systems into production environments * Previous ...

Runlayer

Demand Generation Lead

New York, NY · On-site +1

Remote-friendly (we have a NYC office on Bond Street if you're local). 20% travel. Why You'll ... inherited machine * Hands-on operator, not a project manager: you set up your own campaigns ...

Gong.io

Senior Manager, Solution Engineering

New York, NY · On-site +1

$255K - $300K/yr

This position is a hybrid-based role (office and remote). RESPONSIBILITIES * Build & lead a ... Be a steward of our company culture and actively enforce our Operating Principles by embodying them ...

Independence Pet Group

Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

... and operating the data platform, governance framework, and analytics capabilities that power ... Job Location: Remote | Hybrid - United States; Chicago, New York, or Columbus, OH ain ...

BMC Software, Inc.

Lead Mainframe Developer

New York, NY · On-site +1

$126K - $159K/yr

Our industry-leading portfolio unlocks human and machine potential to drive business growth ... Experience in developing working code utilizing low-level operating system functions to accomplish ...

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Remote Trumpf Machine Operator information

See Stamford, CT salary details

$12

$19

$25

How much do remote trumpf machine operator jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for remote trumpf machine operator in Stamford, CT is $19.39, according to ZipRecruiter salary data. Most workers in this role earn between $17.45 and $20.77 per hour, depending on experience, location, and employer.

What is a remote Trumpf machine operator?

A Remote Trumpf Machine Operator is a skilled technician who operates Trumpf machines, such as laser cutters or press brakes, from a remote location using specialized software and digital controls. These operators are responsible for setting up, monitoring, and adjusting the machines to ensure precise fabrication of metal parts according to specifications. They often collaborate with onsite teams to troubleshoot issues and maintain production quality. Working remotely allows for flexibility and the ability to manage multiple machines or production sites from a distance, leveraging advancements in industrial automation and connectivity.

What are the key skills and qualifications needed to thrive as a remote Trumpf machine operator?

To thrive as a Remote Trumpf Machine Operator, you need a solid understanding of CNC machinery, blueprint reading, and manufacturing processes, often supported by relevant technical training or certifications. Familiarity with Trumpf machine controls, CAD/CAM software, and remote monitoring systems is typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills in this position. These skills and qualities ensure precise machine operation, minimize downtime, and support efficient production workflows in a remote manufacturing environment.

What are some common challenges faced by a remote Trumpf machine operator, and how can they be addressed?

Remote Trumpf Machine Operators often encounter challenges such as troubleshooting machine errors without on-site support and maintaining clear communication with team members in different locations. To address these, operators should become proficient in remote diagnostics tools provided by Trumpf, actively participate in virtual team meetings, and document machine performance meticulously. Building a strong relationship with technical support teams and staying updated with software and firmware updates also helps minimize downtime and ensures smooth operations.

What is the difference between Remote Trumpf Machine Operator vs Remote CNC Machine Operator?

AspectRemote Trumpf Machine OperatorRemote CNC Machine Operator
CertificationsTypically requires Trumpf-specific training or certificationsRequires CNC programming and operation certifications
Work EnvironmentOperates Trumpf laser or punch machines remotely in manufacturing settingsOperates various CNC machines remotely in manufacturing or fabrication settings
Industry UsageCommon in sheet metal fabrication and metalworking industriesUsed across manufacturing, aerospace, automotive, and metalworking industries

Remote Trumpf Machine Operators and Remote CNC Machine Operators share similar skills in machine operation and safety protocols. However, Trumpf operators focus specifically on Trumpf laser and punch machines, while CNC operators work with a broader range of CNC equipment. Both roles require technical certifications and are vital in modern remote manufacturing processes.

Remote Trumpf Machine Operator jobs near you

Data Engineering Manager

Peloton

New York, NY • On-site, Remote

Full-time

Re-posted 27 days ago

Job description

ABOUT THE ROLE

Peloton is looking for a talented Data Engineering Manager to join the Data Engineering team. In this role, you will lead the DataOps function, driving operational excellence across our data platforms while managing the successful delivery of data initiatives through a combination of internal and offshore engineering resources.

You will work closely with business stakeholders, engineering teams, analytics partners, and platform owners to ensure our data ecosystem remains reliable, scalable, and well-governed. This role combines technical leadership, operational management, and stakeholder engagement, to help support Peloton's growing data and AI needs.

This role will be hybrid, not remote.

YOUR DAILY IMPACT AT PELOTON
  • Lead the DataOps function within the Data Engineering team, driving operational maturity, platform reliability, and process improvements
  • Manage and mentor offshore engineering resources, providing technical guidance, performance feedback, and delivery oversight
  • Partner with stakeholders across multiple business functions to gather requirements, prioritize work, and ensure successful delivery of data solutions
  • Own intake, prioritization, and execution processes for DataOps requests and operational support activities
  • Drive adoption of data engineering standards, ETL best practices, documentation requirements, and operational procedures
  • Serve as an operational owner for key data platforms, including Airflow, Airbyte, and Looker, owning platform governance activities such as user access reviews, compliance reviews, audit support, and operational controls
  • Coordinate incident management, root cause analysis, monitoring, alerting, and operational readiness efforts across the data platform
  • Help shape the long-term operating model for the Data Engineering team as Peloton continues to scale its data and AI initiatives
YOU BRING TO PELOTON
  • 5+ years of experience in data engineering, analytics engineering, software engineering, or related technical roles
  • 2+ years of experience leading technical teams, managing engineering projects, or coordinating offshore/vendor resources
  • Strong understanding of modern data engineering architectures, ETL/ELT patterns, and data platform operations
  • Hands-on working experience with data orchestration and integration platforms such as Airflow, Airbyte, DBT, or similar technologies
  • Proven ability to translate business requirements into technical solutions and coordinate delivery across multiple stakeholders
  • Experience designing and supporting monitoring, alerting, incident response, and operational support processes
  • Excellent communication, prioritization, and organizational skills with the ability to manage competing priorities
  • Strong SQL and data analysis skills, ideally with BigQuery
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field. Advanced degree preferred
BONUS
  • Experience administering or supporting compliance auditing for Looker, BigQuery, or other modern cloud analytics platforms
  • Experience managing distributed or offshore engineering teams
  • Experience building and scaling DataOps or platform operations functions
  • Experience implementing data quality, observability, lineage, or governance solutions
  • Experience supporting AI, machine learning, or self-service analytics initiatives
  • Experience working in Agile/Scrum environments and managing cross-functional technical programs

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