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Python Mechanical Engineer Jobs in Spokane, WA (NOW HIRING)

Kaiser Aluminum

Metallurgical Engineer

Spokane, WA · On-site

$85K - $150K/yr

... Engineering is required. A PhD is preferred. * Excellent experience in statistical analysis and ... Python, etc. * Background in aluminum manufacturing, physical, and mechanical metallurgy.

Kaiser Aluminium

Metallurgical Engineer

Spokane, WA

$85K - $150K/yr

... Engineering is required. A PhD is preferred. * Excellent experience in statistical analysis and ... Python, etc. * Background in aluminum manufacturing, physical, and mechanical metallurgy.

Kaiser Aluminum

Metallurgical Engineer

Spokane, WA

$85K - $150K/yr

... Engineering is required. A PhD is preferred. * Excellent experience in statistical analysis and ... Python, etc. * Background in aluminum manufacturing, physical, and mechanical metallurgy.

WAGSTAFF INC

Electrical Controls Engineer

Spokane, WA · On-site

$75K - $90K/yr

... Mechanical Engineering * Successfully complete job-specific training on various topics * Gain ... Ladder Logic, Python, Factory Talk, Studio 5000, TIA Portal, SQL, Ge iFix, Ignition, C, C+

All JobsPython Mechanical Engineer JobsPython Mechanical Engineer Jobs in Spokane, WA

Python Mechanical Engineer information

See Spokane, WA salary details

$23.3K

$141.5K

$204.8K

How much do python mechanical engineer jobs pay per year?

As of Aug 2, 2026, the average yearly pay for python mechanical engineer in Spokane, WA is $141,528.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,700.00 and $166,300.00 per year, depending on experience, location, and employer.

What is the difference between Python Mechanical Engineer vs Mechanical Design Engineer?

AspectPython Mechanical EngineerMechanical Design Engineer
Required SkillsPython programming, mechanical engineering fundamentalsMechanical design, CAD software, engineering principles
Work EnvironmentSoftware development teams, engineering labsDesign offices, manufacturing facilities
CertificationsOptional Python or software certifications, engineering licensesProfessional Engineer (PE), CAD certifications
Industry UsageAutomation, robotics, simulationProduct design, machinery, structural components

The main difference between a Python Mechanical Engineer and a Mechanical Design Engineer lies in their focus areas. Python Mechanical Engineers combine programming skills with mechanical engineering knowledge to develop automation and simulation tools, while Mechanical Design Engineers focus on creating physical product designs using CAD software. Both roles are essential in engineering projects but serve different functions within the industry.

What are the key skills and qualifications needed to thrive as a Python Mechanical Engineer, and why are they important?

To thrive as a Python Mechanical Engineer, you need a solid foundation in mechanical engineering principles, strong programming skills in Python, and typically a bachelor’s degree in mechanical engineering or a related field. Familiarity with simulation and modeling tools like ANSYS or SolidWorks, as well as experience with Python libraries such as NumPy and pandas, is highly beneficial. Problem-solving abilities, effective communication, and adaptability set candidates apart in this role. These skills are essential for efficiently designing, analyzing, and automating engineering processes, leading to innovative and optimized mechanical solutions.

How do Python Mechanical Engineers typically collaborate with cross-functional teams during product development?

Python Mechanical Engineers often work closely with electrical engineers, software developers, and product managers throughout the product development cycle. Their role involves integrating Python-based automation and simulation tools with mechanical design processes, which requires clear communication and coordination to ensure compatibility and efficiency. Regular meetings, collaborative project management platforms, and shared documentation are commonly used to align goals and resolve technical challenges. This cross-disciplinary teamwork not only enhances product quality but also provides valuable opportunities for professional growth and learning.

What does a Python Mechanical Engineer do?

A Python Mechanical Engineer is a professional who combines mechanical engineering expertise with proficiency in the Python programming language. They often use Python to automate simulations, analyze engineering data, create custom computational tools, and develop scripts for design optimization. Their work can involve tasks such as automating CAD processes, running finite element analysis, or integrating hardware and software systems. This combination of skills is increasingly valuable in industries that emphasize digital engineering and automation.
What job categories do people searching Python Mechanical Engineer jobs in Spokane, WA look for? The top searched job categories for Python Mechanical Engineer jobs in Spokane, WA are:
What cities near Spokane, WA are hiring for Python Mechanical Engineer jobs? Cities near Spokane, WA with the most Python Mechanical Engineer job openings:
Python Mechanical Engineer jobs near you
Infographic showing various Python Mechanical Engineer job openings in Spokane, WA as of June 2026, with employment types broken down into 10% Internship, 72% Full Time, 13% Part Time, and 5% Contract. Highlights an 95% In-person, and 5% Hybrid job distribution, with an average salary of $141,528 per year, or $68 per hour.

Metallurgical Engineer

Kaiser Aluminum

Spokane, WA • On-site

$85K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 25 days ago

Kaiser Aluminum rating

7.4

Company rating: 7.4 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

295th of 537 rated manufacturers

Job description

Kaiser Aluminum is known around the world for its superior quality. Our secret is what we put into it-innovative thinking, industry-leading reliability, and a world-class commitment to customer service. In short, the same qualities we look for in our people. We are looking for a Metallurgical Data Scientist to join the Kaiser Aluminum onsite team in Spokane Washington with a background in aluminum manufacturing, physical/mechanical metallurgy and Finite Element Analysis!
Must be a USA person (identified as US Citizen, US Permanent Resident (Green Card), any individual who is granted status as a "protected person" under 8 U.S.C. 1324b(a)(3).
Benefits
  • Salary range $85,000 to $150,000 commensurate with experience.
  • High deductible medical, dental, vision, and basic life insurance, including spouse and children (modest payroll deductions).
  • 10 paid holidays per year.
  • Vacation (3 weeks starting out).
  • Supplemental leave (used in conjunction with Washington Paid Family & Medical Leave).
  • 401K with matching company funds.
  • Quarterly bonus structure.
  • Tuition reimbursement.

The Metallurgical/Data Scientist is responsible for analysis, design, testing and implementation of existing and new applications and integrations. The ideal candidate will be a strong technical resource with the ability to understand, learn and master many different diverse technologies used across the enterprise, work with minimal supervision, and has ability to work closely with the business and technical resources.
What you will work on:
  • Conduct the low cost and high quality product and process improvement and optimization through the combination of advanced data analytics and ICME (Integrated Computational Material Science).
  • Monitor, evaluate, and apply the advanced computing technologies and algorithms for the most sophistic data analytics to uncover insights and hidden variables, identify root causes and patterns, forecast outcomes, and provide data-drive solutions.
  • Production process data collection, high dimension large dataset multivariate analysis, classic and penalized regression predictive modelling, advanced neural-network and decision-tree based predictive modeling development and applications.
  • Develop general and challenge specific predictive modeling capabilities by using commercially available software and/or internal computational codes.
  • Design and development of alloys and processes for Aluminum products through advanced data analytics and ICME.
  • Provide guidance and mentorship supports for different levels of data analytics including the principle and limits of different analytical algorithms.
  • Provide support for Industry 4.0 initiatives.
  • Develop, define, and complete on-time assigned research & development chartered projects.
  • Support plant projects as directed.
  • Write technical reports summarizing work as well as presentations to peers on progress at continuous improvement meetings.
  • Perform metallurgical and structural analysis of aluminum products.
  • Work in cross-functional teams to develop process and production improvements.
  • 5S of assigned areas.

What you will bring to the role:
  • MS degree in Data Science, or Computational Material Science, or Statistics, or Material Science or Mechanical Engineering is required. A PhD is preferred.
  • Excellent experience in statistical analysis and computing for data-driven problem solving in manufacturing environment.
  • Strong skills and experience in predictive modeling development by using multivariate analysis, classic and penalized regression predictive modelling, advanced neural-network and decision-tree based predictive modeling technologies.
  • Experience with the advanced computing technologies and algorithms, such as machine learning, to build high quality predictive modes, uncover insights and hidden variables, and provide solutions.
  • Experience in large dataset collection, integration, and visualization by using Excel, SQL, Mintab, Python, etc.
  • Background in aluminum manufacturing, physical, and mechanical metallurgy.
  • Experience in thermodynamic and kinetic material modeling by using CALPHA principle, and process simulations by using FEA and CFD tools.
  • An ability to apply continuous improvement tools and methodologies to processes and projects
  • Excellent communication skills (written and verbal) and organizational skills.
  • Proven ability to work in teams.
  • Ability to manage multiple tasks simultaneously.

PREFERRED SKILLS
  • Experience in metal rolling process simulation through FEA, Crystal Plasticity (CP) model, and other microstructure-based material models.
  • Experience in material characterization such as microstructure and mechanical properties.

WORK ENVIRONMENT
  • Approximately 70% of the job function is performed in an office setting requiring normal safety precautions. 30% of the job function is required in the plant. There is exposure to operating machinery and a manufacturing environment.

We are an equal opportunity employer. All applicants will be considered based on job-related qualifications and abilities. There shall be no discrimination on the basis of age, race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, veteran, or disability status.
About Kaiser Aluminum: Talented people join our team because we are a company passionate about environmental sustainability, employee growth, contributing back to our communities and championing an inclusive culture.
No third-party candidate submissions are being accepted at this time for this opening

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