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Energy Industry Python Jobs (NOW HIRING)

Red Ventures

Paid Search Manager | Energy

Charlotte, NC · On-site +1

$100K - $130K/yr

Leverage analytical tools such as SQL, LLMs, Hightouch, and Python to monitor, understand, and ... Industry Interest: Passion for the energy industry and understanding of customer acquisition ...

Red Ventures

Paid Search Manager | Energy

Charlotte, NC · On-site

$100K - $130K/yr

Leverage analytical tools such as SQL, LLMs, Hightouch, and Python to monitor, understand, and ... Industry Interest: Passion for the energy industry and understanding of customer acquisition ...

SmartIPlace

Senior Developer - SQL/ Oracle

Houston, TX · On-site

Must be in office 3 days a week in Houston, TX. * Oil and Gas/Energy industry experience is must ... Python development experience with db libraries and interfaces to ETL data. * Experience with ...

Akraya

Python Developer:

Fremont, CA · On-site

$50 - $55/hr

Collaborate with vehicle service and energy service and software teams. * Take ownership of ... Industry Experience: * Familiarity with automotive or technology sectors is beneficial. ABOUT ...

SPLICE

Python Framework Developer

Washington, DC · Remote

$57 - $78.50/hr

... the industry. Whether you're building ChatGPT bots, Langchain question-answering APIs, profile ... get energy from broadcasting their work to the world * You have mastery and love coding in Python.

SPLICE

Python Framework Developer

Washington, DC · On-site +1

$57 - $78.50/hr

... the industry. Whether you're building ChatGPT bots, Langchain question-answering APIs, profile ... get energy from broadcasting their work to the world * You have mastery and love coding in Python.

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How much do energy industry python jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for energy industry python 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 Industry, and why are they important?

To thrive as a Python Developer in the Energy Industry, you need strong programming skills in Python, a solid understanding of data analysis, and familiarity with energy systems or engineering concepts, often supported by a degree in computer science or a related field. Experience with data visualization tools, cloud platforms, and frameworks like Pandas, NumPy, and Django, as well as knowledge of industry-specific software such as SCADA systems, is highly valuable. Analytical thinking, problem-solving, and effective communication help developers collaborate with cross-disciplinary teams and translate technical solutions into business value. These skills are crucial for building robust applications that optimize energy operations, improve efficiency, and support innovation in a highly regulated sector.

What kinds of projects can I expect to work on as a Python developer in the energy industry?

As a Python developer in the energy industry, you may work on a variety of projects such as designing data pipelines for real-time monitoring of energy consumption, developing predictive models for equipment maintenance, or creating dashboards for visualizing energy production and efficiency. Collaboration is common, with regular interaction between data scientists, engineers, and business analysts to ensure solutions align with both technical and operational needs. These projects often involve handling large datasets and integrating with legacy systems, offering both technical challenges and learning opportunities.

What are Energy Industry Python jobs?

Energy Industry Python jobs refer to positions in the energy sector that primarily use the Python programming language to solve industry-specific problems. These roles often involve tasks such as data analysis, automation, modeling, and simulation for applications like energy trading, grid management, renewable energy optimization, and predictive maintenance. Professionals in these roles use Python to process large datasets, develop algorithms, and build tools to improve efficiency and decision-making in energy companies. Python's versatility and strong data science libraries make it a popular choice in this field.

What is the difference between Energy Industry Python vs Energy Industry Data Analyst?

AspectEnergy Industry Python DeveloperEnergy Industry Data Analyst
Required CredentialsProficiency in Python, possibly certifications in data science or programmingDegree in data analysis, statistics, or related field; some Python knowledge beneficial
Work EnvironmentDeveloping scripts, automation, and data tools within technical teamsInterpreting data, creating reports, and supporting decision-making
Employer & Industry UsageUsed by technical teams for automation, modeling, and data processingUsed across departments for insights, reporting, and strategic planning

The Energy Industry Python developer focuses on coding, automation, and data modeling using Python, often working closely with technical teams. In contrast, the Energy Industry Data Analyst interprets data, creates reports, and supports business decisions, with some Python skills being advantageous. Both roles are vital in the energy sector but serve different functions within data management and analysis.

Infographic showing various Energy Industry Python job openings in the United States as of May 2026, with employment types broken down into 32% Full Time, 28% Part Time, and 40% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

Remote Data Scientist (Entry Level)

Jobsultant Solutions

Duncan, OK • Remote

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

A leading provider of energy industry solutions is seeking an Entry Level Data Analyst for a remote position. This role focuses on data engineering, modeling, and analysis of large-scale business data. Candidates should have experience with machine learning frameworks, Python, and data visualization.

An undergraduate degree in a STEM field is required, with a master's preferred. This is an excellent opportunity for those looking to grow their careers in a dynamic environment. #J-18808-Ljbffr

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