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Python Mechanical Engineer Jobs in Washington, DC

WorkNova LLC

Python Developer

Reston, VA · On-site

$52.25 - $72/hr

Python Developer with AWS Reston, VA, 3 days onsite in a week Need to go for F2F interview ... Knowledge of authentication and authorization mechanisms (JWT, OAuth2) * Experience implementing ...

Meso Scale Discovery

Engineer II, Microfluidic

Gaithersburg, MD

$88K - $134K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

POSITION SUMMARY The Microfluidic Engineer II is responsible for mechanical design, prototyping ... Experience programming for instrument control and data analysis (LabView, MATLAB, Python) strongly ...

MSD

Engineer II, Microfluidic

Gaithersburg, MD · On-site

$88K - $134K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

POSITION SUMMARY The Microfluidic Engineer II is responsible for mechanical design, prototyping ... Experience programming for instrument control and data analysis (LabView, MATLAB, Python) strongly ...

Doist

Senior Python Engineer

Arlington, VA · On-site

$118 - $163/hr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Develop and implement software solutions using Python and frameworks like Django, Flask, and ... Understanding of secure programming practices and authentication mechanisms. * Experience with ...

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Showing results 21-40

All JobsPython Mechanical Engineer JobsPython Mechanical Engineer Jobs in Washington, DC

Python Mechanical Engineer information

See Washington, DC salary details

$26.1K

$158.5K

$229.3K

How much do python mechanical engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for python mechanical engineer in Washington, DC is $158,531.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,200.00 and $186,300.00 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 does a Python mechanical engineer 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.

Are Python mechanical engineers in demand?

Python mechanical engineers are in demand as companies seek professionals who can integrate programming skills with mechanical design, automation, and data analysis. Proficiency in Python, along with knowledge of CAD tools and automation processes, enhances job prospects in industries such as manufacturing, robotics, and engineering research.

What are popular job titles related to Python Mechanical Engineer jobs in Washington, DC?

For Python Mechanical Engineer jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Python Mechanical Engineer jobs in Washington, DC look for?

The top searched job categories for Python Mechanical Engineer jobs in Washington, DC are:

Python Mechanical Engineer jobs near you

Python Developer

WorkNova LLC

Reston, VA • On-site

$52.25 - $72/hr

Contractor

Re-posted yesterday

Job description

Python Developer with AWS

Reston, VA, 3 days onsite in a week

Need to go for F2F interview

Description:

Position Summary

The Senior Python Developer will design, develop, test, and implement cloud native applications, data pipelines, and backend services within AWS. The role requires strong Python engineering skills, AWS service expertise, foundational data engineering capabilities, and a disciplined approach to software quality and automation. The ideal candidate will be able to work collaboratively across teams, follow established engineering practices, and deliver secure, scalable, and maintainable solutions.

________________________________________

Required Technical Qualifications

Python Development

• Strong proficiency in Python for backend service development

• Experience with relevant Python libraries such as Pandas, Boto3, and data processing packages

• Proficiency with automated testing using PyTest, including fixtures, mocking, and parameterization

• Understanding of clean code principles, error handling, type hints, and maintainable design

________________________________________

API Engineering

• Hands-on experience building RESTful APIs using Flask, Django, or FastAPI

• Knowledge of authentication and authorization mechanisms (JWT, OAuth2)

• Experience implementing API versioning, request validation, and structured error handling

• Understanding of performance considerations such as throughput, latency, and caching

________________________________________

AWS Cloud Services

• Practical experience with key AWS services including:

Lambda, S3, Step Functions, Glue, EC2, ECS/Fargate, RDS, Redshift, CloudWatch

• Ability to design event driven, serverless, and containerized architectures

• Familiarity with distributed systems patterns such as retries, dead letter queues, and idempotent operations

• Experience monitoring applications via CloudWatch metrics, logs, and alarms

________________________________________

Infrastructure, DevOps, & Tooling

• Hands-on experience with GitLab for version control and CI/CD pipeline development

• Experience using Terraform (or similar) for infrastructure as code

• Proficiency with Docker for containerized application development

• Ability to use shell scripting and AWS CLI for operational automation

• Familiarity with Agile development workflows (Jira, Confluence)

________________________________________

AI Assisted Development Tools (Required Competency)

To support modern engineering productivity and code quality standards, candidates must:

• Demonstrate familiarity with GitHub Copilot or comparable AI assisted development tools

• Use AI tools responsibly to:

o Accelerate development while maintaining code correctness

o Generate and refine unit tests and integration test scaffolding

o Improve readability, documentation, and boilerplate reduction

o Assist with refactoring, code reviews, and exploratory coding

• Understand organizational expectations around responsible AI usage, including validation, security, and compliance

This is a mandatory requirement, not a bonus skill.

________________________________________

Data Engineering Skills (Required)

Candidates are expected to have practical exposure to foundational data engineering concepts, including:

• Experience building or maintaining data pipelines using AWS Glue, PySpark, or Lambda based ETL flows

• Working knowledge of SQL and relational databases (e.g., Postgres, Aurora, or MySQL)

• Ability to optimize SQL queries (joins, aggregations, window functions)

• Understanding of data modeling, data validation, and schema evolution

• Familiarity with Redshift ingestion patterns (e.g., COPY operations) and performance optimization

• Experience working with data stored in S3, including partitioning, data lifecycle considerations, and file formats (Parquet/JSON)

________________________________________

Front-End Exposure (Preferred, Not Required)

• Basic familiarity with Angular, particularly for integrating backend APIs

• Ability to read and modify UI components when needed

________________________________________

Soft Skills & Engineering Mindset

• Ability to communicate effectively with technical and non technical stakeholders

• Strong analytical and problem solving capability

• Demonstrated ability to navigate, understand, and improve existing codebases

• Understanding of design patterns and architectural principles

• Focus on reliability, scalability, automation, and long term maintainability

Ability to collaborate in Agile teams and provide high quality documentation

Enable Skills-Based Hiring    No

Qualification     Assessment

Must Have

FNMACompany Default Category

5-7+ years software development experience

5 years

Bachelor degree in Computer Science, Information Systems or related field

Yes

Post-graduate degree desired

Yes

Professional certification(s) desired

Yes