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Remote Reservoir Engineer Jobs (NOW HIRING)

Forgen

Business Development - Texas Water

Austin, TX · On-site +1

Dallas, TX; Houston, TX; Remote - Texas Position Summary The Forgen Water Practice Lead is a senior ... Army Corps of Engineers (USACE), , and major engineering and program management firms operating in ...

Forgen

Business Development - Texas Water

Fort Worth, TX · On-site +1

Dallas, TX; Houston, TX; Remote - Texas Position Summary The Forgen Water Practice Lead is a senior ... Army Corps of Engineers (USACE), , and major engineering and program management firms operating in ...

Forgen

Business Development - Texas Water

Dallas, TX · On-site +1

Dallas, TX; Houston, TX; Remote - Texas Position Summary The Forgen Water Practice Lead is a senior ... Army Corps of Engineers (USACE), , and major engineering and program management firms operating in ...

Forgen

Business Development - Texas Water

Galveston, TX · On-site +1

Dallas, TX; Houston, TX; Remote - Texas Position Summary The Forgen Water Practice Lead is a senior ... Army Corps of Engineers (USACE), , and major engineering and program management firms operating in ...

Forgen

Business Development - Texas Water

Houston, TX · On-site +1

Dallas, TX; Houston, TX; Remote - Texas Position Summary The Forgen Water Practice Lead is a senior ... Army Corps of Engineers (USACE), , and major engineering and program management firms operating in ...

Forgen

Business Development - Texas Water

Dallas, TX · On-site +1

Dallas, TX; Houston, TX; Remote - Texas Position Summary The Forgen Water Practice Lead is a senior ... Army Corps of Engineers (USACE), , and major engineering and program management firms operating in ...

Forgen

Business Development - Texas Water

San Antonio, TX · On-site +1

Dallas, TX; Houston, TX; Remote - Texas Position Summary The Forgen Water Practice Lead is a senior ... Army Corps of Engineers (USACE), , and major engineering and program management firms operating in ...

Rescale

Customer Success Engineer - Remote in the US

$110K - $150K/yr

... Chemistry, Reservoir (Seismic) Simulation, Media Rendering, Machine Learning, Financial etc ... M.S. in engineering, computer science, or equivalent preferred. * Ability to manage multiple ...

ComboCurve, Inc.

Account Executive

Oklahoma City, OK · On-site +1

ComboCurve is a industry leading cloud-based software solution for A&D, reservoir management, and ... By streamlining data integration and enhancing collaboration, we help operators, engineers, and ...

ComboCurve, Inc.

Account Executive

Houston, TX · On-site +1

ComboCurve is a industry leading cloud-based software solution for A&D, reservoir management, and ... By streamlining data integration and enhancing collaboration, we help operators, engineers, and ...

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Remote Reservoir Engineer information

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$173.5K

How much do remote reservoir engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote reservoir engineer in the United States is $123,968.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,000.00 and $146,000.00 per year, depending on experience, location, and employer.

What is a remote reservoir engineer?

Remote reservoir engineers are professionals who analyze and manage oil and gas reservoirs using digital tools and technologies, often working from locations outside the physical site. They use data from sensors, simulation software, and remote monitoring systems to optimize reservoir performance, plan extraction strategies, and maximize recovery. This role allows companies to leverage expertise from anywhere in the world, reducing travel and increasing efficiency while still ensuring the safe and effective management of subsurface resources.

How does a remote reservoir engineer typically collaborate with on-site teams to optimize reservoir performance?

As a remote reservoir engineer, collaboration with on-site teams is primarily achieved through regular virtual meetings, data sharing platforms, and real-time monitoring tools. Engineers analyze reservoir data, generate models, and provide recommendations, while maintaining close communication with field operators and geoscientists. Effective collaboration relies on clear documentation and timely updates to ensure that all stakeholders are aligned on project goals and operational adjustments. This approach allows remote engineers to contribute valuable insights and support decision-making despite not being physically present on location.

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

To thrive as a Remote Reservoir Engineer, you need a strong background in petroleum engineering, reservoir simulation, and data analysis, typically supported by a relevant engineering degree. Familiarity with software like Petrel, Eclipse, or CMG, as well as proficiency in remote collaboration tools and data visualization platforms, is essential. Excellent problem-solving abilities, communication skills, and self-motivation set outstanding candidates apart in remote settings. These skills ensure effective reservoir management, accurate forecasting, and seamless teamwork despite physical distance.

What is the difference between Remote Reservoir Engineer vs Remote Petroleum Engineer?

AspectRemote Reservoir EngineerRemote Petroleum Engineer
Required CredentialsBachelor's or Master's in Petroleum Engineering, certifications like SPEBachelor's or Master's in Petroleum Engineering, certifications like SPE
Work EnvironmentField data analysis, reservoir modeling, software-based tasksDrilling, production optimization, data analysis
Industry UsageOil & gas exploration, reservoir managementExploration, drilling, production operations

Remote Reservoir Engineers focus on subsurface reservoir modeling and management, often working with software and data analysis. Remote Petroleum Engineers have a broader scope, including drilling and production activities. Both roles require similar credentials and are used within the oil and gas industry, but their daily tasks differ based on specialization.

How much money does a remote reservoir engineer make?

A remote reservoir engineer typically earns between $80,000 and $150,000 annually, depending on experience, location, and the complexity of projects. Senior engineers or those with specialized skills and certifications can earn higher salaries, often supplemented by bonuses and benefits. Remote work may also influence compensation based on company policies and regional cost of living adjustments.
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What are the most commonly searched types of Reservoir Engineer jobs?

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Remote Reservoir Engineer jobs near you
Infographic showing various Remote Reservoir Engineer job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $123,968 per year, or $59.6 per hour.

Senior Software Engineer, Python

ComboCurve, Inc.

Houston, TX • On-site, Remote

$116K - $156K/yr

Full-time

Re-posted 8 days ago

Job description

ComboCurve is a industry leading cloud-based software solution for A&D, reservoir management, and forecasting in the energy sector. Our platform empowers professionals to evaluate assets, optimize workflows, and manage reserves efficiently, all in one integrated environment.
By streamlining data integration and enhancing collaboration, we help operators, engineers, and financial teams make informed decisions faster. Trusted by top energy companies, ComboCurve delivers real-time analytics and exceptional user support, with a world-class customer experience team that responds to inquiries in under 5 minutes.
We're hiring a Senior Software Engineer to join our Economics Team. You'll help design, build and maintain the calculation logic, data flows and infrastructure that power ComboCurve's Economics engine. This role is ideal for someone who loves writing modern Python, caring about architecture and testability, and building new features that make ComboCurve's platform even more powerful.
What You'll Do
  • Write efficient Python code on structured time series datasets that scales easily across cloud infrastructure.
  • Own features end-to-end-from scoping and design through implementation, deployment, and monitoring-working as an independent unit alongside our Product Manager.
  • Engage in software and infrastructure system design discussions, contributing to architectural decisions that shape the ComboCurve platform.
  • Build and maintain backend services and APIs in Python that are reliable, well-tested, and straightforward to extend.
  • Model, query, and optimize data in MongoDB-schema design, indexing, and aggregation pipelines-so product features stay fast as data grows.
  • Deploy and operate containerized services on cloud infrastructure, leveraging GCP components such as Cloud Run, Cloud Functions, and GCS.
  • Incorporate AI-first development practices-using AI tooling to accelerate delivery, improve code quality, and explore new product capabilities.
  • Collaborate with engineering peers through code reviews, technical documentation, and shared standards that raise code quality the team.

Requirements
Technical
  • Python: Production-grade Python 3.13+, type annotations and async/await as the default. No shortcuts on type safety.
  • API Design: Clean REST or gRPC services with OpenAPI contracts. Knows how to version and evolve APIs without breaking consumers.
  • Web Frameworks & Serving: Hands-on experience with Flask and/or FastAPI for building production services, and comfortable configuring Gunicorn for WSGI deployment.
  • Software Architecture Patterns: SOLID principles and clean architecture in practice. Designs decoupled, maintainable services that scale.
  • Data & Statistical Analysis: Comfortable working with structured datasets in Python using tools like pandas or numpy for basic statistical analysis, exploratory analysis, and deriving actionable insights from data.
  • Data Processing & Visualization: Able to process medium-to-large datasets efficiently and communicate findings clearly through simple visualizations or reports when needed.
  • SaaS Delivery: Proven track record taking features to production in cloud-based SaaS products. Comfortable with the full lifecycle from dev to deploy to monitor.
  • MongoDB: Schema design, indexing, and aggregation pipelines in production. ODM like MongoEngine or native driver, e.g. PyMongo.
  • Modern Dependency Management: Hands-on with uv or similar for fast package resolution and virtual environment handling.
  • Testing: Comprehensive pytest suites including fixtures, parameterization, and mocked external services.
  • Containerization: Docker and Docker Compose for local and production. Knows how to keep images lean.
  • Code Quality: Enforces standards via tools like ruff and pyright. Treats static analysis as a first-class concern.

Nice to Have
  • Google Cloud Platform: Deploying and managing services on GCP, specifically Cloud Run, Cloud Functions, and Cloud Storage.
  • AI Integration: Exposure to LLM APIs or agent frameworks; ability to wire AI capabilities into product features without needing to be an ML specialist.
  • Domain Knowledge: Experience in the oil and gas industry or a background in Petroleum Engineering; the context matters here and shapes better product decisions.

Workflow & Collaboration
  • Takes ownership end-to-end, from scoping to shipping to iterating.
  • Can translate ambiguous product requirements into concrete technical proposals.
  • Communicates tradeoffs clearly to both engineers and non-technical stakeholders.
  • Reviews code to raise quality and share context, not just approve.

While this is a fully remote position, there will be an in person New Hire Orientation.

Apply