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Overseas Pipeline Jobs (NOW HIRING)

Dexis

Senior Associate, USG

Washington, DC · On-site

This includes collecting and analyzing information related to the pipeline, supporting regular ... Customize training materials to cater to the diverse roles within the overseas offices.

Dexis

Senior Associate, USG

Washington, DC · On-site

This includes collecting and analyzing information related to the pipeline, supporting regular ... Customize training materials to cater to the diverse roles within the overseas offices.

Dexis

Senior Associate, USG

Washington, DC · On-site

This includes collecting and analyzing information related to the pipeline, supporting regular ... Customize training materials to cater to the diverse roles within the overseas offices.

Makwa Global LLC

Director, Defense Growth

Mclean, VA · On-site

... overseas staffing, training support, security cooperation, logistics, technical advisory services ... Develop, qualify, and maintain a healthy pipeline of opportunities supporting the agencies above.

Bellota Labs

Senior Software Engineer (Mandarin-speaking)

$125K - $165K/yr

... CI/CD pipeline development and management • Familiarity with microservices architecture and implementation • Experience collaborating with global or overseas teams Company : Founded in , the ...

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Showing results 21-40

All JobsOverseas Pipeline Jobs

Overseas Pipeline information

See salary details

$24K

$85.7K

$172.5K

How much do overseas pipeline jobs pay per year?

As of Sep 2, 2026, the average yearly pay for overseas pipeline in the United States is $85,693.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $114,000.00 per year, depending on experience, location, and employer.

What is an overseas pipeline?

Overseas pipeline jobs involve working on the construction, maintenance, and inspection of pipelines in international locations. These roles can include engineers, welders, inspectors, and technicians who ensure the safe and efficient transport of oil, gas, or other materials across borders. Workers in these positions often spend extended periods abroad, adapting to different cultures and working conditions. The jobs can be physically demanding and require specialized skills, but they also offer competitive pay and opportunities for travel.

What are the key skills and qualifications needed to thrive as an overseas pipeline engineer?

To thrive as an Overseas Pipeline Engineer, you need a solid background in mechanical or civil engineering, knowledge of pipeline design and construction, and often a relevant engineering degree or professional certification. Familiarity with industry-standard software like AutoCAD, pipeline modeling tools, and project management systems is typically required. Strong problem-solving skills, cultural adaptability, and effective communication are vital soft skills in this role. These abilities ensure safe, efficient, and compliant pipeline operations across diverse international environments.

What are the main challenges faced by professionals working in overseas pipeline roles, and how can they be addressed?

Professionals in overseas pipeline roles often face challenges such as coordinating across different time zones, adapting to various cultural and regulatory environments, and managing logistics for international projects. Clear communication and strong organizational skills are crucial to overcoming these hurdles. Building relationships with local partners and staying updated on international compliance standards can also help ensure seamless operations and project success.

What is the difference between Overseas Pipeline vs Onshore Pipeline?

AspectOverseas PipelineOnshore Pipeline
Work EnvironmentConstruction and maintenance in international locations, often remote and challengingConstruction and maintenance within land-based, domestic areas
Required CertificationsSimilar certifications such as safety training, pipeline construction, and technical skillsSame certifications as Overseas Pipeline, with additional local compliance if applicable
Employer & Industry UsageOil & gas companies operating internationally, project-based rolesDomestic oil & gas companies, pipeline operators

Overseas Pipeline jobs involve working on international projects, often in remote locations, requiring similar skills and certifications as Onshore Pipeline roles. The main difference lies in the work location and logistical considerations, with Overseas Pipeline roles focusing on international sites and Onshore Pipeline roles on domestic projects.

More about Overseas Pipeline jobs

What states have the most Overseas Pipeline jobs?

States with the most job openings for Overseas Pipeline jobs include:

What job categories do people searching Overseas Pipeline jobs look for?

The top searched job categories for Overseas Pipeline jobs are:

Overseas Pipeline jobs near you
Infographic showing various Overseas Pipeline job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $85,693 per year, or $41.2 per hour.

Senior AI Data Infrastructure/Pipeline Engineer

XPENG

Santa Clara, CA • On-site

$127K - $173K/yr

Full-time

Re-posted 29 days ago

Job description

XPENG is a leading smart technology company at the forefront of innovation, integrating advanced AI and autonomous driving technologies into its vehicles, including electric vehicles (EVs), electric vertical take-off and landing (eVTOL) aircraft, and robotics. With a strong focus on intelligent mobility, XPENG is dedicated to reshaping the future of transportation through cutting-edge R&D in AI, machine learning, and smart connectivity.
As a core member of our AI Infrastructure team, you will be responsible for building the end-to-end data pipeline for autonomous driving, covering the entire chain from onboard data upload → cloud-based preprocessing → dataset production → model training / simulation input. In autonomous driving systems, the stability and efficiency of the pipeline directly determine the speed of algorithm iteration. We look forward to building a reliable, observable, and cost-effective data pipeline that supports the daily flow of petabyte-scale sensor data.
Key Responsibilities
  • Responsible for the design and construction of core data closed loop pipelines. Develop toolchains for data cleaning, annotation quality inspection, and data mining to support the algorithm team in quickly locating model error cases and driving iterative model optimization.
  • Data Support for Production and R&D Processes. This includes log event tracking, connected vehicle data, internal and external data collection, data synchronization, data cleaning and standardization, data modeling, offline and real-time data processing, data as a service, and data visualization. Support business operations such as autonomous driving, smart cockpits, overseas data collection, and robotics data collection.
  • Responsible for optimizing the performance of the entire data pipeline (collection, cleaning, conversion). Solve bottlenecks in large-scale data transmission, memory management, I/O, etc., and build a distributed data processing system with high throughput and low latency.
  • Responsible for building a data management platform covering the entire process from data collection to data lake ingestion to model training. Implement capabilities for data version control, data lineage tracing, metadata management, and fast data retrieval to support unified data access and collaboration across multiple teams.
  • Collaborate with the large model team and other technical teams to deeply understand business requirements, respond quickly, and ensure successful implementation.

Basic Qualifications
  • Bachelor's degree or higher in Computer Science, Software Engineering, Artificial Intelligence, or related fields.
  • 3-5+ years of experience in large-scale data processing or data platform development.
  • Proficiency in at least one programming language among Python / Go / Java. Solid software engineering foundation, good coding standards, and a strong sense of code quality.
  • Hands-on project experience in at least two of the following areas:
    • Design and development of large-scale data pipelines / ETL systems, with end-to-end experience in data cleaning, transformation, and loading.
    • Production-level experience with distributed message queues (Kafka / Pulsar / RabbitMQ), familiar with stream processing paradigms.
    • Experience with distributed data lake systems (e.g., Apache Iceberg), familiar with Iceberg's table format, partition evolution, snapshot isolation, etc., with practical performance tuning and deployment experience.
    • Experience with columnar storage formats (e.g., Lance) and related query engines, with practical application in large model training.
  • Hands-on experience using and optimizing relational databases (MySQL / PostgreSQL) and NoSQL databases (Redis / MongoDB). Understand metadata management and caching strategies.
  • Experience in performance optimization and troubleshooting for large-scale distributed systems, able to quickly locate and resolve complex performance bottlenecks. Experience with Kubernetes / Docker containerization deployment.
  • Strong cross-team communication and collaboration skills, high sense of responsibility, and proactive problem-solving attitude.

Preferred Qualifications
  • Familiarity with closed-loop data in the embodied AI industry will be a huge plus.
  • Some understanding of the autonomous driving industry, awareness of data closed loop and data flywheel concepts, and enthusiasm for this field.
  • Experience with AI infrastructure or model training workflows (e.g., data loading, feature engineering, data preparation for model evaluation).
  • Familiarity with data lake / data warehouse systems, with practical experience implementing data version control and data lineage tracing.
  • Open-source contributions on GitHub or a technical blog, with continuous attention to the latest technological trends in big data / AI infrastructure.

What do we provide:
  • A fun, supportive and engaging environment.
  • Infrastructures and computational resources to support your work.
  • Opportunity to work on cutting edge technologies with the top talents in the field.
  • Opportunity to make significant impact on the transportation revolution by the means of advancing autonomous driving.
  • Competitive compensation package.
  • Snacks, lunches, dinners, and fun activities.

The base salary range for this full-time position is $145,600 - $246,400, in addition to bonus, equity and benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
We are an Equal Opportunity Employer. It is our policy to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, sexual orientation, religion, national origin, disability, veteran status or marital status or any other prescribed category set forth in federal or state regulations.

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