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Freelance Prototype Build Engineer Jobs in Maine

Mechanical Engineer

Berwick, ME · On-site

$120K - $180K/yr

... build, test, and commission hardware * Collaborate with automation and controls engineers on integrated system development * Lead hands-on testing, hardware iteration, and rapid prototyping based on ...

... rapid prototyping, vibe-coding, design automation, QA, documentation, and iteration. * Build ... You do not need to be a specialist full-stack engineer - AI-assisted development is expected to ...

This role reports to the CEO and will build and lead the Products team. The future team will likely ... This includes collaborating closely with Leadership, developers, and QA engineers. The Product ...

Senior Product Manager

Poland, ME · On-site

$140 - $190/hr

... prototypes and experiments to reduce risk early. * Use interviews, product analytics, market ... Build trusted relationships with product, design, engineering, data, content, and commercial ...

Freelance Prototype Build Engineer information

What is the difference between Freelance Prototype Build Engineer vs Mechanical Design Engineer?

AspectFreelance Prototype Build EngineerMechanical Design Engineer
CredentialsRelevant technical skills, certifications in prototyping or manufacturingDegree in Mechanical Engineering, CAD certifications
Work EnvironmentFreelance, project-based, often on-site or remoteFull-time, in-house or design firm offices
Industry UsageProduct startups, hardware companies, prototyping firmsManufacturing, product design, engineering firms

The Freelance Prototype Build Engineer focuses on creating physical prototypes for various projects, often working independently on short-term contracts. In contrast, Mechanical Design Engineers primarily develop detailed mechanical designs and specifications for products within a company or design team. While both roles require technical skills and engineering knowledge, the freelance prototype builder emphasizes hands-on prototyping, whereas the mechanical designer emphasizes design development and CAD work.

What job categories do people searching Freelance Prototype Build Engineer jobs in Maine look for?

The top searched job categories for Freelance Prototype Build Engineer jobs in Maine are:

What cities in Maine are hiring for Freelance Prototype Build Engineer jobs?

Cities in Maine with the most Freelance Prototype Build Engineer job openings:

Infographic showing various Freelance Prototype Build Engineer job openings in Maine as of August 2026, with employment types broken down into 82% Full Time, 13% Part Time, 3% Temporary, and 2% Contract. Highlights an 78% Physical, 3% Hybrid, and 19% Remote job distribution.

Forward Deployed Engineer - EU and US (East)

Outsized

Poland, ME • On-site

$200.88 - $267.84/hr

Other

Posted 4 days ago


Job description

Forward Deployed Engineer - EU and US (East)

Experience Senior (11-15 years) | Expert (15+ years)

Est. Start August 3, 2026

Duration 4 Months

Tech company in data management

Remote

United States

Poland

Spain

United Kingdom

Required Skills Data Engineering Solution Architecture Power BI AWS Python Data Processing Data Modelling PySpark Prototyping

Project Overview

A leading data platform organisation is seeking multiple Forward Deployed AI/Data Engineers (Lead level) to support the delivery of data-driven solutions for its initial customer base.

As part of the Field Engineering team, these consultants will work directly with customers to translate business requirements into Proof of Concept (PoC) data products built on the organisation’s operating system. The role will involve hands‑on development across the full lifecycle of analytics and data product delivery, while also contributing to the evolution of the platform through real‑world feedback.

This is an urgent requirement, with three positions available for immediate onboarding. Candidates must be highly self‑sufficient, requiring minimal ramp‑up time, and capable of operating in client‑facing environments.

The role is remote, aligned to EU or US East time zones, with limited travel expected aside from periodic company‑wide events.

Key Responsibilities
  • Lead the development of PoC data products built on the organisation’s OS for initial customers
  • Translate business requirements into data models, pipelines, dashboards, and machine learning solutions
  • Work closely with customers to support adoption of data mesh across the full lifecycle, from data integration to infrastructure optimisation
  • Design and build end-to-end data solutions, including prototyping and production deployment
  • Manage the full lifecycle of PoC delivery, from ideation through to successful deployment
  • Develop and test data using synthetic datasets before production release
  • Collaborate with internal teams to provide feedback and improve platform capabilities and tooling
  • Support continuous integration and deployment processes to optimise build and release cycles
  • Engage directly with stakeholders, articulating solutions and demonstrating value
Your Background
  • 7+ years’ experience as a Data Engineer, Forward Deployed Engineer, Field Solutions Engineer, or Solutions Architect
  • Proven experience in customer‑facing roles with strong communication skills
  • Hands‑on experience across the full analytics lifecycle, including data modelling, pipeline development, and dashboarding
  • Experience with tools such as Looker, PowerBI or similar for demonstration purposes
  • Strong programming capability in Python and/or other languages, with a focus on rapid prototyping
  • Experience building and managing data processing pipelines using tools such as Airflow, Dagster, Prefect, or dbt
  • Familiarity with machine learning environments such as PySpark and Pandas
  • Experience working with cloud infrastructure, including Kubernetes, Google Cloud, AWS, or Azure
  • Experience working with complex data pipelines in large‑scale data environments
  • Strong interest in applying data to machine learning and analytics use cases
Desirable:
  • Understanding of data mesh principles
  • Experience contributing to open‑source or internal data infrastructure products
  • Experience solving ambiguous business problems with end‑to‑end data solutions
  • Ability to quantify and communicate the business value of data solutions
  • Experience with test‑first data pipeline development
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