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Remote Python Mechanical Engineering Jobs in Trumbull, CT

Ztek Consulting

Dataiku Developer

Stamford, CT · Remote

$100K - $130K/yr

Stamford, CT/ Remote Salary Range : $100,000-$130,000 a year 8 - 12 years of experience Desired ... Strong knowledge of Python and SQL scripting; experience with API integrations. * Ability to ...

SNC-Lavalin

Senior Mechanical/Piping Designer

Orange, CT · On-site +1

$55 - $75/hr

This role could be remote within the United States or hybrid within one of our US Hub offices. Your ... Prepare PFDs and P&IDs under supervision of process engineer. * Layout complex piping systems and ...

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All JobsRemote Python Mechanical Engineering JobsRemote Python Mechanical Engineering Jobs in Trumbull, CT

Remote Python Mechanical Engineering information

See Trumbull, CT salary details

$22.6K

$137.3K

$198.7K

How much do remote python mechanical engineering jobs pay per year?

As of Jun 10, 2026, the average yearly pay for remote python mechanical engineering in Trumbull, CT is $137,336.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,400.00 and $161,400.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Python Mechanical Engineer, you need a solid background in mechanical engineering principles, experience with Python programming, and at least a bachelor's degree in engineering. Familiarity with technical tools such as CAD software, finite element analysis (FEA) platforms, and Python libraries like NumPy, SciPy, and Matplotlib is typically required. Strong problem-solving skills, effective communication, and the ability to work independently are essential soft skills for remote collaboration. These skills and qualifications ensure you can design, analyze, and optimize mechanical systems efficiently while contributing effectively from a remote environment.

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

AspectRemote Python Mechanical EngineeringRemote Mechanical Design Engineer
Required CredentialsEngineering degree, Python programming skills, mechanical knowledgeEngineering degree, CAD software proficiency, mechanical design skills
Work EnvironmentSoftware development, coding, data analysisDesign, CAD modeling, prototype development
Employer & Industry UsageTech companies, engineering firms, product developmentManufacturing, automotive, aerospace, product design
Search & Comparison IntentTechnical coding roles, remote Python jobs in engineeringDesign-focused remote mechanical engineering roles

Remote Python Mechanical Engineering involves coding, data analysis, and software development using Python in a mechanical context. In contrast, Remote Mechanical Design Engineers focus on CAD modeling, designing mechanical components, and prototype creation. Both roles require engineering backgrounds but differ in daily tasks and skill sets, catering to different aspects of mechanical engineering projects.

What is a Remote Python Mechanical Engineer?

A Remote Python Mechanical Engineer is a professional who applies principles of mechanical engineering while working remotely, often leveraging the Python programming language to automate tasks, analyze data, develop simulations, or enhance product designs. These engineers may work on projects such as computational modeling, data analysis, or developing scripts for engineering workflows, all from a remote location. The combination of mechanical engineering expertise and Python proficiency allows them to solve complex engineering problems efficiently and collaborate with teams virtually.

How do remote Python Mechanical Engineers typically collaborate with cross-functional teams while working off-site?

Remote Python Mechanical Engineers often work closely with design, simulation, and manufacturing teams using digital collaboration tools. Regular video meetings, shared code repositories, and project management platforms help maintain open communication and ensure alignment on tasks and deadlines. Emphasis is placed on clear documentation and proactive updates to address time zone differences and minimize misunderstandings. This collaborative environment allows engineers to contribute effectively to multidisciplinary projects without being physically present.
Remote Python Mechanical Engineering jobs near you

Dataiku Developer

Ztek Consulting

Stamford, CT • Remote

$100K - $130K/yr

Other

Posted 4 days ago

Job description

Position: Dataiku Developer

Position Type: Fulltime

Location: Stamford, CT/ Remote

Salary Range : $100,000-$130,000 a year

8 - 12 years of experience

Desired Skills : SQL | Data Modeling

  • Collaborate closely with the team to review, challenge, and optimize pipeline design and implementation decisions.
  • Lead architectural decisions and define best practices for scalable, maintainable data workflows in Dataiku.
  • Provide strategic guidance on data wrangling, workflow orchestration, and platform integration within Dataiku.
  • Ensure solutions align with enterprise data governance, security, and compliance standards.
  • Act as a technical advisor to the Data Management team, contributing to solution design and delivery.

Job Description

Roles & Responsibilities

Must Have Technical/Functional Skills

  • Collaborate closely with the team to review, challenge, and optimize pipeline design and implementation decisions.
  • Lead architectural decisions and define best practices for scalable, maintainable data workflows in Dataiku.
  • Provide strategic guidance on data wrangling, workflow orchestration, and platform integration within Dataiku.
  • Ensure solutions align with enterprise data governance, security, and compliance standards.
  • Act as a technical advisor to the Data Management team, contributing to solution design and delivery.
  • Document architectural decisions and promote knowledge sharing across the team

Roles & Responsibilities

  • 5+ years in data architecture, engineering, or related roles.
  • Proven experience as a Data Architect in enterprise environments, ideally in financial services.
  • Strong proficiency in Dataiku (DSS), with experience designing production-grade data pipelines and workflows.
  • Solid understanding of ETL/ELT, data modeling, and SQL.
  • Hands-on expertise with the Azure data ecosystem (Data Factory, Synapse, Azure SQL, Data Lake, etc.).
  • Strong knowledge of Python and SQL scripting; experience with API integrations.
  • Ability to evaluate multiple implementation approaches and recommend optimal solutions. Exposure to data visualization and data engineering practices. Excellent communication skills, with the ability to mentor.

Generic Managerial Skills, If any

  • Creative thinking.
  • Building and managing relationships.
  • Emotional agility.
  • Technology Business Requirements Definition, Analysis and Mapping.
  • Adaptability.
  • Learning Agility.

Regards,

Sajith Nair Ztek Consulting Inc

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