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Python Energy Jobs (NOW HIRING)

Vitol

Python Data Engineer

Houston, TX · On-site

Company Description Vitol is a leader in energy and commodities. Vitol produces, manages and ... Contribute to our developer tools and Python ETL toolkit, including standardization and ...

Vitol

Python Data Engineer

Houston, TX

Company Description Vitol is a leader in energy and commodities. Vitol produces, manages and ... Contribute to our developer tools and Python ETL toolkit, including standardization and ...

NAVA Software Solutions

Python Developer

Houston, TX · On-site

$45.50 - $62.75/hr

Python Developer Location: Houston TX - Onsite Job Type: Full time / Direct Hire The Python ... Commodities / Energy Industry experience desired * Familiarity with containerization solutions like ...

Statkraft

Python Developer

Casar, NC · On-site

$44.50 - $61.50/hr

Statkraft has been making clean energy possible for over a century. That's what we offer. 125 years ... What to expect: As a Python Developer you will closely engage with the business by developing ...

Royal & Ross

Sr Python Developer

Houston, TX

$116K - $156.10K/yr

Our client is looking for a Python Developer to join their team ... This is a full-time opportunity in Houston, TX with our top energy trading client. Position Core ...

Royal & Ross

Sr Python Developer

Houston, TX · On-site

$116K - $156.10K/yr

Our client is looking for a Python Developer to join their team ... This is a full-time opportunity in Houston, TX with our top energy trading client. Position Core ...

Lorven Technologies

Python Developer

California, MO · Remote

$45 - $62/hr

Experience in Energy and Utility projects is a significant advantage Translate business requirements into technical solutions using PySpark and Python frameworks. Lead data engineering initiatives ...

VC5 Consulting

Python Data Engineer

Houston, TX

A well-established energy trading firm in Houston is seeking a seasoned Python Data Engineer to expand its data assets and directly elevate its analytical and trading capabilities. In this role, you ...

New

Diverse Lynx

Python Developer

Rosemead, CA · On-site

$51.25 - $70.75/hr

Python Developer Location: Rosemead, CA Python, PySpark, and SQL, Strong data engineering ... Prior experience in utilities, energy, public sector, or large regulated enterprises. Roles ...

RIT Solutions

Lead Python

Manhattan, NY · On-site

$154.30K - $189.60K/yr

Built distributed, scalable enterprise systems Trading / commodities / energy / financial markets ... Python * AWS * REST APIs * Event-driven systems * SQL * Docker * Kubernetes * Linux * Trading UIs ...

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How much do python energy jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for python energy in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Python Developer in the energy sector, and why are they important?

To thrive as a Python Developer in the energy sector, you need strong programming skills in Python, a good grasp of energy systems, data analysis, and often a relevant degree in computer science or engineering. Familiarity with tools like Pandas, NumPy, SQL databases, and energy-specific platforms or APIs, as well as experience with version control systems like Git, are typically required. Excellent problem-solving, communication, and teamwork skills help you collaborate effectively and translate complex energy data into actionable insights. These skills are crucial for developing reliable software solutions that drive efficiency and innovation in the energy industry.

How does a Python developer contribute to energy sector projects, and what collaborative dynamics can be expected?

As a Python developer in the energy sector, you’ll often work closely with engineers, data scientists, and analysts to develop software solutions for energy management, forecasting, and optimization. The role typically involves handling large datasets from sensors or grid systems, automating data analysis, and building models for predicting energy consumption or equipment maintenance. Collaboration is key—you’ll participate in cross-functional teams, contribute to code reviews, and help translate complex business needs into robust, scalable code. Expect to engage in regular meetings to align on project goals and integrate your work with broader technical and operational strategies.

What is a Python Energy Engineer?

A Python Energy Engineer is a professional who uses the Python programming language to analyze, model, and optimize energy systems. Their work often involves developing tools for energy forecasting, automation, data analysis, and simulation in sectors such as renewable energy, utilities, and smart grids. By leveraging Python's libraries and frameworks, they help improve energy efficiency, integrate renewable sources, and support decision-making processes in the energy industry.

What is the difference between Python Energy vs Data Analyst?

AspectPython EnergyData Analyst
Required CredentialsPython programming skills, energy industry knowledge, possibly certifications in energy managementDegree in statistics, mathematics, or related field; proficiency in data analysis tools
Work EnvironmentEnergy companies, renewable energy firms, utility providersCorporate offices, consulting firms, or finance departments
Employer & Industry UsageUsed for energy data modeling, automation, and analysis in energy sectorUsed for interpreting data trends, reporting, and decision-making across industries

Python Energy professionals focus on programming and analyzing energy data within the energy industry, often requiring specialized industry knowledge. Data Analysts work across various sectors, interpreting data to inform business decisions. While both roles involve data skills, Python Energy emphasizes energy-specific applications, whereas Data Analysts have a broader industry scope.

Freelance Energy Engineering & Python Expert - AI Trainer

Mind Rift

Virginia, MN • On-site

$55/hr

Part-time

This job post has expired today. Applications are no longer accepted.

Job description

Overview Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. Please submit your CV in English and indicate your level of English proficiency.

What This Opportunity Involves While each project involves unique tasks, contributors may: Design rigorous energy engineering problems reflecting professional practice; Evaluate AI solutions for correctness, assumptions, and constraints; Validate calculations or simulations using Python (NumPy, Pandas, SciPy); Improve AI reasoning to align with industry-standard logic; Apply structured scoring criteria to multi-step problems What We Look For This opportunity is a good fit for energy engineers with experience in Python, open to part-time, non-permanent projects. Ideally, contributors will have: Degree in Energy Engineering or related fields, e.g. Electrical Engineering, Power Systems Engineering, Renewable Energy Engineering, Electronics, etc.; 3+ years of professional energy engineering experience; Strong written English (C1/C2); Strong Python proficiency for numerical validation; Stable internet connection Professional certifications (e.g., PE, CEng, EMP, CEM) and experience in international or applied projects are an advantage.

How It Works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Payment Paid contributions, with rates up to $55/hour* Fixed project rate or individual rates, depending on the project Some projects include incentive payments Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors.

Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project #J-18808-Ljbffr

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