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Python Mechanical Engineer Jobs in Palm Bay, FL (NOW HIRING)

L3HHCM20

Application Developer Intern

Melbourne, FL · On-site

$17.75 - $23.50/hr

Melbourne, FL L3Harris Enterprise Data and AI team is seeking a Data Engineer with experience in ... Develop and manage data cleansing, consolidation, and integration mechanisms to support big data ...

New

L3Harris Technologies

Associate, Quality

Palm Bay, FL · On-site

... Electrical Engineering, Mechanical Engineering, Computer Science, Quality Engineering ... Experience using Power BI, SQL, Python, or other analytics tools * Experience working with process ...

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All JobsPython Mechanical Engineer JobsPython Mechanical Engineer Jobs in Palm Bay, FL

Python Mechanical Engineer information

See Palm Bay, FL salary details

$19.6K

$119.6K

$173K

How much do python mechanical engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for python mechanical engineer in Palm Bay, FL is $119,575.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,400.00 and $140,500.00 per year, depending on experience, location, and employer.

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.

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 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.

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.

Are Python Mechanical Engineers in demand?

Python Mechanical Engineers are in demand as companies seek professionals who can integrate Python programming with mechanical systems, automation, and data analysis. Skills in Python, CAD software, and control systems increase employability in industries like manufacturing, robotics, and engineering design.

What cities near Palm Bay, FL are hiring for Python Mechanical Engineer jobs?

Cities near Palm Bay, FL with the most Python Mechanical Engineer job openings:

Python Mechanical Engineer jobs near you

Application Developer Intern

L3HHCM20

Melbourne, FL • On-site

$17.75 - $23.50/hr

Internship

Posted 2 days ago

New

Job description

Job Title: Application Development Intern 

Job Schedule: 9/80

Job Code: 41942

Job Location: Melbourne, FL

Job Description:

L3Harris Enterprise Data and AI team is seeking a Data Engineer with experience in managing enterprise-level data life cycle processes. This role includes overseeing data ETL/ELT pipelines, ensuring adherence to data standards, maintaining data frameworks, conducting data cleansing, orchestrating data pipelines, and ensuring data consolidation. The selected individual will play a pivotal role in maintaining ontologies, building scalable data solutions, and developing dashboards to provide actionable insights for the enterprise within Palantir Foundry. This position will support the company's modern data platform, Unified Data Layer, focusing on data pipeline development and maintenance, data platform design, documentation, and user training. The goal is to ensure seamless access to data for all levels of the organization, empowering decision-makers with clean, reliable data.

Essential Functions:

  • Design, build, and maintain robust data pipelines to ensure reliable data flow across the enterprise.
  • Maintain data pipeline schedules, orchestrate workflows, and monitor the overall health of data pipelines to ensure continuous data availability.
  • Create, update, and optimize data connections, datasets, and transformations to align with business needs.
  • Troubleshoot and resolve data sync issues, ensuring consistent and correct data flow from source systems.
  • Collaborate with cross-functional teams to uphold data quality standards and ensure accurate data is available for use.
  • Utilize Palantir Foundry to establish data connections to source applications, extract and load data, and design complex logical data models that meet functional and technical specifications.
  • Develop and manage data cleansing, consolidation, and integration mechanisms to support big data analytics at scale.
  • Build visualizations using Palantir Foundry tools and assist business users with testing, troubleshooting, and documentation creation, including data maintenance guides.

Qualifications:

  • To be eligible, applicants must be pursuing a Bachelor's degree in Information Technology, Computer Engineering, Computer Science or related field

Preferred Additional Skills:

  • Understanding of BI (Business Intelligence) & DW (Data Warehouse) development methodologies.
  • Experience with Snowflake cloud data platform including but not limited to hands-on experience with Snowflake
  • Experience with Python, Pandas, Databricks, JavaScript, Typescript or other scripting languages
  • Experience in ETL tools such as Palantir Foundry, ADF (Azure Data Factory), SSIS, Informatica or Talend is preferable
  • Working knowledge to connect and extract data from various ERP applications such as Oracle EBS, SAP ECC/S4, Deltek Costpoint, REST API, and more.
  • Experience with AI tools such as OpenAI, Palantir AIP, Snowflake Cortex or similar.
  • Hands on Experience with design, development of Data Pipelines in Palantir Foundry Pipeline Builder or Code Repo, PySpark and Spark SQL, and data build/sync schedule deployment in Palantir
  • Experience with Data Pipeline development or ETL tools such as Palantir Foundry, Azure Data Factory, SSIS or Python
  • Data Integration experience in Palantir or similar data integration tools.

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