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Remote Petroleum Engineer Jobs in Colorado (NOW HIRING)

Senior Platform Engineer, Connectivity

Denver, CO · On-site +1

$107K - $147K/yr

Remote: Quarterly travel to hub locations for team syncs and alignment. Our Performance Culture We ... Engineering Standards: Produce clear design documentation, implementation guidance, and operational ...

Senior Engineer

Broomfield, CO · On-site +1

$135K - $175K/yr

Senior Software Engineer Broomfield, CO Boston, MA Los Angeles, CA Hybrid Schedule (M/F remote, T/W ... Remote At Magnite, we cultivate an environment of continuous growth and collaboration. Our work ...

Senior Substation Physical Engineer

Denver, CO · On-site +1

$107K - $147K/yr

Remote Only: * Fully Remote! - Work from where you are! * Candidates must located in the Denver, CO ... Professional Engineer License (PE). * Project Management Professional (PMP). * Technical & Non ...

Senior Platform Engineer

Denver, CO · On-site +1

$107K - $147K/yr

Remote: Quarterly travel for team meetings. What You'll Do * Solution Ownership: Collaborate with operations team members and Principal and Staff Engineers to understand desired system level outcomes ...

Senior Platform Engineer, Connectivity

Denver, CO · On-site +1

$107K - $147K/yr

Remote: Quarterly travel to hub locations for team syncs and alignment. Our Performance Culture We ... Engineering Standards: Produce clear design documentation, implementation guidance, and operational ...

Leader, Solutions Engineer, Splunk

Boulder, CO · On-site +1

$106K - $140K/yr

This role can be performed remote within CO, WA, Utah, AZ, CA - Non Bay Area Must be authorized to ... Align Solutions Engineering priorities, resources, and execution with business strategy and sales ...

Showing results 21-40

Remote Petroleum Engineer information

See Colorado salary details

$44.2K

$84.1K

$143K

How much do remote petroleum engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for remote petroleum engineer in Colorado is $84,148.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,300.00 and $119,900.00 per year, depending on experience, location, and employer.

What is a remote petroleum engineer?

A Remote Petroleum Engineer analyzes and optimizes oil and gas extraction processes while working from a remote location. They use digital tools, simulations, and real-time data to design drilling plans, monitor operations, and improve reservoir performance. These engineers collaborate with on-site teams to ensure efficiency and safety, often utilizing automation and AI-driven insights. Remote work is possible due to advancements in data transmission, cloud computing, and remote monitoring technologies.

What are the key skills and qualifications needed to thrive as a remote petroleum engineer?

To thrive as a Remote Petroleum Engineer, you need a solid background in petroleum engineering principles, reservoir management, and drilling operations, typically supported by a bachelor's degree in engineering. Familiarity with industry-standard software such as Petrel, Eclipse, and SCADA systems is crucial, and professional certifications like a PE license or SPE membership can be advantageous. Strong analytical thinking, problem-solving abilities, and effective virtual communication are key soft skills for this role. These qualities are vital for ensuring seamless project execution, collaborative teamwork, and accurate decision-making across distributed teams in the energy sector.

How does working remotely impact collaboration and communication for petroleum engineers?

Remote Petroleum Engineers frequently collaborate with multidisciplinary teams, including geologists, drilling managers, and data analysts, using digital communication tools and project management platforms. While remote work offers flexibility, it also requires proactive communication skills and reliable internet connectivity to ensure critical data and updates are shared efficiently. Regular virtual meetings and real-time data dashboards help colleagues stay aligned on project goals and timelines. Successful remote engineers are highly organized and comfortable with technology, allowing them to build strong working relationships and contribute effectively from a distance.

What are the most commonly searched types of Petroleum Engineer jobs in Colorado?

The most popular types of Petroleum Engineer jobs in Colorado are:

What are popular job titles related to Remote Petroleum Engineer jobs in Colorado?

For Remote Petroleum Engineer jobs in Colorado, the most frequently searched job titles are:

What cities in Colorado are hiring for Remote Petroleum Engineer jobs?

Cities in Colorado with the most Remote Petroleum Engineer job openings:

Infographic showing various Remote Petroleum Engineer job openings in Colorado as of August 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 100% Remote job distribution, with an average salary of $84,148 per year, or $40.5 per hour.

AI Engineer - FDE (Forward Deployed Engineer)

Databricks

Denver, CO • On-site, Remote

Full-time

Posted 6 days ago


Job description

AI Engineer - FDE (Forward Deployed Engineer) (ALL LEVELS)

CSQ327R177

Mission

The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. Open to remote locations.

This role is intended for experienced engineers with demonstrated industry experience designing, building, and deploying production GenAI and LLM applications at scale. It is not intended for internship, new graduate, or entry-level applicants.

The impact you will have:

  • Develop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems
  • Own production rollouts of consumer and internally facing GenAI applications
  • Serve as a trusted technical advisor to customers across a variety of domains
  • Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally
  • Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap 

What we look for:

  • Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy
  • Expertise in deploying production-grade GenAI applications, including evaluation and optimizations 
  • Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.
  • Experience building production-grade machine learning deployments on AWS, Azure, or GCP
  • Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
  • Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike
  • Passion for collaboration, life-long learning, and driving business value through AI
  • [Preferred] Experience using the Databricks Intelligence Platform and Apache Spark to process large-scale distributed datasets
  • Willing to travel once every 4-8 weeks to see customers (as needed)