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Remote Fishing Engineer Jobs (NOW HIRING)

Power3 Solutions

$100K - $150K/yr

Company-paid events, including golf events, fishing trips, baseball games,hockey gamesand more We ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

Power3 Solutions

$150K - $175K/yr

Company-paid events, including golf events, fishing trips, baseball games,hockey gamesand more We ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

PND Engineers

Civil Design Engineer

Anchorage, AK · On-site +1

Hybrid or remote work possible for the right candidate. Our Anchorage office also values a ... Whether you're drawn to skiing, fishing, hiking, or simply a quieter pace of life, Anchorage offers ...

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All JobsRemote Fishing Engineer Jobs

Remote Fishing Engineer information

See salary details

$36.5K

$107.3K

$137.5K

How much do remote fishing engineer jobs pay per year?

As of Jul 6, 2026, the average yearly pay for remote fishing engineer in the United States is $107,282.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,500.00 and $136,000.00 per year, depending on experience, location, and employer.

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

To excel as a Remote Fishing Engineer, you need a solid background in mechanical or petroleum engineering, experience with downhole fishing operations, and a relevant engineering degree. Familiarity with fishing tools, wireline and coiled tubing systems, and industry-standard software like WellView or Landmark is critical. Strong problem-solving, communication, and teamwork skills set standout professionals apart in this field. These competencies ensure efficient retrieval of downhole equipment and minimize costly well downtime, which is vital for operational success in the oil and gas industry.

What are Remote Fishing Engineers?

Remote Fishing Engineers are specialized professionals in the oil and gas industry who use advanced tools and technologies to retrieve or repair equipment that has become stuck, lost, or broken during drilling operations. Unlike traditional fishing engineers who work on-site, remote fishing engineers perform these tasks from a distance, often using remote monitoring systems, robotics, and real-time data analysis. Their expertise helps minimize downtime, reduce costs, and improve safety by addressing wellbore obstructions efficiently. They typically collaborate with on-site teams, providing guidance and technical support during fishing operations. This role requires strong problem-solving skills, technical knowledge, and the ability to work with remote communication technologies.

What is the difference between Remote Fishing Engineer vs Remote Marine Biologist?

AspectRemote Fishing EngineerRemote Marine Biologist
CredentialsEngineering degree, certifications in fisheries or environmental engineeringBiology degree, certifications in marine science or ecology
Work EnvironmentField data collection, software development, data analysisResearch, data analysis, environmental monitoring
Industry UsageFisheries management, aquaculture, environmental consultingMarine conservation, research institutions, government agencies

Remote Fishing Engineers focus on developing technology and solutions for fisheries and aquaculture, often combining engineering skills with environmental knowledge. Remote Marine Biologists primarily conduct research and monitor marine ecosystems remotely, emphasizing biological sciences. Both roles require specialized credentials and serve different but related aspects of marine and fisheries industries.

What are some typical challenges a Remote Fishing Engineer may face when working with teams across different locations?

As a Remote Fishing Engineer, one common challenge is coordinating effectively with on-site teams in various time zones, which can affect communication and response times during critical operations. Additionally, troubleshooting technical issues remotely often requires clear documentation and strong virtual collaboration skills, since you may not have immediate physical access to equipment. Building trust and maintaining alignment with both clients and field personnel is essential for ensuring successful fishing operations and minimizing downtime.
More about Remote Fishing Engineer jobs
What cities are hiring for Remote Fishing Engineer jobs? Cities with the most Remote Fishing Engineer job openings:
What are the most commonly searched types of Fishing Engineer jobs? The most popular types of Fishing Engineer jobs are:
What states have the most Remote Fishing Engineer jobs? States with the most job openings for Remote Fishing Engineer jobs include:
What job categories do people searching Remote Fishing Engineer jobs look for? The top searched job categories for Remote Fishing Engineer jobs are:
Remote Fishing Engineer jobs near you
Infographic showing various Remote Fishing Engineer job openings in the United States as of June 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 100% Remote job distribution, with an average salary of $107,282 per year, or $51.6 per hour.
Senior Software Engineer (Tech lead)

Senior Software Engineer (Tech lead)

Thermo Fisher Scientific

Austin, TX • On-site, Remote

$121K - $160K/yr

Full-time

Posted 18 days ago

Thermo Fisher Scientific rating

7.7

Company rating: 7.7 out of 10

Based on 409 frontline employees who took The Breakroom Quiz

190th of 527 rated manufacturers

Job description

Work Schedule

Standard (Mon-Fri)

Environmental Conditions

Office

Job Description

COMPANY:                            Thermo Fisher Scientific Inc.

LOCATION:                            2130 Woodward St, Austin, TX 78744

TITLE:                                    Senior Software Engineer (Tech lead)

HOURS:                                  Monday to Friday, 8:00 am to 5:00 pm

DUTIES:                                 Lead the design and implementation of AI application platform solutions, including system architecture, POCs, and solution documentation, using advanced technologies such as Agents, Function Calling, MCP, RAG, and large language models (LLMs).
Design and deliver AI tools and AI enabled web applications using React, Python, TypeScript and similar technologies ensuring performance, scalability, and maintainability.
Build, deploy, and maintain web applications & Microservices (Python & Java) for both on-premises and AWS Cloud environments.
Mentor junior and senior engineers, conduct code reviews and guide technical decisions to ensure high-quality software delivery.
Collaborate with cross-functional product development teams—scientists, engineers, and Product Development Managers (PDMs)—to gather requirements and craft interactive scientific and AI-driven software solutions.
Work closely with internal platform teams, including the Innovation team and Asia-Pacific teams (e.g., Korea, China) as well as the BLR (Bangalore) team, to coordinate cross-functional initiatives and drive AI integration strategies, with flexibility in working hours to support effective communication and collaboration across global and regional teams.
Help non-AI teams embed intelligent capabilities—such as agents and chatbots—into their platforms.
Maintain, support, and enhance existing software applications, ensuring they evolve with user needs and technical best practices.
Build and maintain automated test frameworks and tools, ensuring test coverage and reliability through standard QA practices.
Develop and manage CI/CD pipelines and continuous deployment technologies for rapid, reliable delivery, supporting both development and production environments.
Manage DevOps activities including Azure and AWS infrastructure, Kubernetes orchestration, Docker containerization, and Ingress configuration.
Ensure application-level security, cost efficiency, and observability through metrics and logging systems.
Attend and actively participate in all Agile Scrum ceremonies (Daily Stand-ups, PI Planning, Sprint Planning, Grooming, Retrospectives).
Support production release lifecycles including release planning, regression testing, go-live support, and post-release aftercare.
Create and maintain comprehensive code and system documentation to support current and future development.
Can work hybrid (In-Office/Remote).
Travel: Up to 10% domestic and international travel required.                                                                                                                                   

REQUIREMENTS:                  MINIMUM Education Requirement: Master’s degree or foreign degree equivalent in Computer Science, Computer Engineering, or related field of study. MINIMUM Experience Requirement: 5 years of experience as a Software Engineer, or related occupation. Alternative Education and Experience Requirement: Bachelor’s degree or foreign degree equivalent in Computer Science, Computer Engineering, or related field of study plus 7 years of experience as a Software Engineer or related occupation as an equivalent alternative. Required knowledge or experience with: Python, Java, TypeScript, Linux Shell. AI Platform Architecture, Large Language Models (LLMs), GPT, Claude, Gemini, DALL·E, Agents, Function Calling, Model Context Protocol (MCP), RAG (Retrieval-Augmented Generation), Embedding Services, LangChain, AutoGen, SpringAI, OpenAI Assistant, OpenAI Agent, Code Interpreter. OIDC, JWT, OAuth2, JSON, Swagger. Angular, React, Node.js, HTML5, CSS, JavaScript, jQuery. SpringBoot, Spring, JDBC, MicroServices, Maven, Tomcat. Kubernetes, Docker, GitHub Actions, CI/CD, Ingress, Nginx, AWS (EKS, S3, SNS, SQS, RDS, Route53, Secret Manager, Cost Center), Azure (AI Hub, AI studio, Authentication, Cognitive AI Search), Load Balance, API Gateway, Helm Chart. System Design, Domain-Driven Design (DDD), Test-Driven Development (TDD), Reactive Programming (WebFlux). HTTP Streaming, WebSocket, Cookie, Session. QA Automation, Unit Test. Grafana, Prometheus, Metrics, Loki, JMeter, LangFuse. PostgreSQL, Redis, Vector DB, Graph DB, Databricks. VS Code, IntelliJ, GitHub Copilot, Confluence/Jira, Miro, Diagrams, Figma.

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