Mechanical Data Engineer – Mechanical, Data Engineering

Foundation EGI

Mechanical Data Engineer at an AI startup transforming customer data into datasets enhancing model performance. Involves hands-on data processing and engineering expertise for accurate AI systems.

Posted 4/29/2026full-timeRemote • Massachusetts • 🇺🇸 United StatesMid-LevelSeniorWebsite

About the role

Key responsibilities & impact

Ingest, clean, transform, and structure customer and internally generated engineering data for AI training and inference.
Design and build high-quality mechanical components and assemblies in CAD to serve as authoritative ground truth for evaluating and training AI systems.
Produce labeled datasets, reference designs, annotations, exploded views, sequences, and other engineering artifacts that encode real-world reasoning.
Apply engineering judgment to define and assess output quality across datasets.
Continuously refine standards for metadata, annotation, and model quality, maintaining a living “definition of quality” for ME datasets.
Collaborate with Product Managers to shape tooling used for annotation, data correction, model-output review, and pipeline automation.
Provide detailed feedback on tool usability, workflow efficiency, and automation opportunities.
Help develop scalable, repeatable data processes that improve throughput and data consistency.
Partner closely with engineering and research teams to understand model data requirements, failure modes, and areas needing new data.
Influence model behavior by supplying representative engineering examples and ground-truth mechanical designs.
Partner with customer-facing teams to translate domain requirements, industry standards, and customer data schemas into actionable dataset specifications.
Serve as a subject matter expert on mechanical engineering formats, CAD standards, manufacturing practices, and design artifacts.
Generate technical documentation, exploded views, sequences, and annotations that encode engineering reasoning into training data.
Ensure that datasets reflect real-world constraints, DFM (Design for Manufacturing) considerations, material behavior, and industry best practices.
Embed engineering reasoning into training data so that AI systems learn not just geometry or text, but engineering intent.
Work with customers to understand their data sources, schemas, formats, and quality expectations.
Guide customers in preparing high-quality datasets, defining structured schemas, and improving data pipelines.
Support delivery timelines by communicating progress clearly and surfacing risks or issues early.
Review and work with external contractors, ensuring high-quality output and adherence to SOPs.

Requirements

What you’ll need

Strong domain expertise in mechanical engineering, manufacturing design, or industrial workflows.
Hands-on experience with CAD tools such as SolidWorks, CATIA, Siemens NX, or Creo.
Familiarity with annotation tools and illustration software (e.g., Creo Illustrate, Adobe Illustrator, Arbortext).
Ability to interpret complex mechanical assemblies, technical drawings, GD&T, and engineering documentation.
Experience creating artifacts like exploded views, work-step sequences, repair manuals, or manufacturing instructions.
Strong problem-solving skills and the ability to translate domain workflows into structured data requirements.
Excellent communication and cross-functional collaboration skills.

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Foundation EGI Website LinkedIn All Job Openings 11 - 50 employees Founded 2023 🤖 Artificial Intelligence ☁️ SaaS 🏢 Enterprise Artificial Intelligence
SaaS
Enterprise Foundation EGI is an AI-driven platform that automates the generation of engineering documentation from 3D CAD data. The company converts assemblies into 2D/3D parts catalogs, GD&T technical drawings, optimized assembly sequences, and multilingual operator/service manuals, aiming to reduce manual drafting and speed product development for manufacturing and engineering teams. Foundation EGI positions itself as an enterprise SaaS solution that brings machine learning and computational design into industrial workflows to improve accuracy, traceability, and time-to-production. Mechanical Data Engineer – Mechanical, Data Engineering 🔥 3 minutes ago 🍂 Massachusetts – Remote ⏰ Full Time 🟡 Mid-level 🟠 Senior 🚰 Data Engineer Apply Now Find Hiring Managers Customize resume for this job Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Ingest, clean, transform, and structure customer and internally generated engineering data for AI training and inference.
Design and build high-quality mechanical components and assemblies in CAD to serve as authoritative ground truth for evaluating and training AI systems.
Produce labeled datasets, reference designs, annotations, exploded views, sequences, and other engineering artifacts that encode real-world reasoning.
Apply engineering judgment to define and assess output quality across datasets.
Continuously refine standards for metadata, annotation, and model quality, maintaining a living “definition of quality” for ME datasets.
Collaborate with Product Managers to shape tooling used for annotation, data correction, model-output review, and pipeline automation.
Provide detailed feedback on tool usability, workflow efficiency, and automation opportunities.
Help develop scalable, repeatable data processes that improve throughput and data consistency.
Partner closely with engineering and research teams to understand model data requirements, failure modes, and areas needing new data.
Influence model behavior by supplying representative engineering examples and ground-truth mechanical designs.
Partner with customer-facing teams to translate domain requirements, industry standards, and customer data schemas into actionable dataset specifications.
Serve as a subject matter expert on mechanical engineering formats, CAD standards, manufacturing practices, and design artifacts.
Generate technical documentation, exploded views, sequences, and annotations that encode engineering reasoning into training data.
Ensure that datasets reflect real-world constraints, DFM (Design for Manufacturing) considerations, material behavior, and industry best practices.
Embed engineering reasoning into training data so that AI systems learn not just geometry or text, but engineering intent.
Work with customers to understand their data sources, schemas, formats, and quality expectations.
Guide customers in preparing high-quality datasets, defining structured schemas, and improving data pipelines.
Support delivery timelines by communicating progress clearly and surfacing risks or issues early.
Review and work with external contractors, ensuring high-quality output and adherence to SOPs. 🎯 Requirements
Strong domain expertise in mechanical engineering, manufacturing design, or industrial workflows.
Hands-on experience with CAD tools such as SolidWorks, CATIA, Siemens NX, or Creo.
Familiarity with annotation tools and illustration software (e.g., Creo Illustrate, Adobe Illustrator, Arbortext).
Ability to interpret complex mechanical assemblies, technical drawings, GD&T, and engineering documentation.
Experience creating artifacts like exploded views, work-step sequences, repair manuals, or manufacturing instructions.
Strong problem-solving skills and the ability to translate domain workflows into structured data requirements.
Excellent communication and cross-functional collaboration skills. Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Software Engineer II – Enterprise Data Warehouse 🔥 4 minutes ago The Home Depot 10,000+ employees 🛒 Retail 👥 B2C Website LinkedIn All Job Openings Software Engineer II at Home Depot building and maintaining data pipelines for enterprise analytics. Collaborates with teams to transform raw data into actionable insights. 🇺🇸 United States – Remote 💵 $90k - $170k / year 💰 Debt Financing on 2007-07 ⏰ Full Time 🟢 Junior 🟡 Mid-level 🚰 Data Engineer Airflow BigQuery Cloud Jenkins Python SQL Lead Engineer, Data Platforms 🔥 42 minutes ago Dutch Bros Coffee 10,000+ employees 🛒 Retail 👥 B2C Website LinkedIn All Job Openings Lead Engineer, Data at Dutch Bros Coffee responsible for optimizing foundational data ecosystem and building resilient data platforms. Collaborate on analytics and machine learning workflows. 🇺🇸 United States – Remote 💰 Private Equity Round on 2018-09 ⏰ Full Time 🟠 Senior 🚰 Data Engineer Airflow AWS Distributed Systems ETL Kafka Matillion Python SQL Lead Data Engineer 🔥 2 hours ago EXL 10,000+ employees Website LinkedIn All Job Openings Lead Data Engineer designing, development, and implementation of data solutions using AWS and Snowflake at EXL. Collaborating with teams to ensure data quality and compliance with industry standards. 🇺🇸 United States – Remote 💵 $130k - $150k / year 💰 $2M Venture Round on 2015-01 ⏰ Full Time 🟠 Senior 🚰 Data Engineer AWS ETL Python SQL Senior Data Engineer, Data Foundations 🔥 3 hours ago Komodo Health 501 - 1000 ⚕️ Healthcare Insurance 🤖 Artificial Intelligence ☁️ SaaS Website LinkedIn All Job Openings Senior Data Engineer transforming complex healthcare datasets into usable data products at Komodo Health. Building data systems and pipelines for improved healthcare outcomes. 🇺🇸 United States – Remote 💵 $153k - $207k / year 💰 $220M Series E on 2021-03 ⏰ Full Time 🟠 Senior 🚰 Data Engineer 🦅 H1B Visa Sponsor Cloud Python Rust Spark SQL Lead Azure Data Engineer 🔥 9 hours ago Wolverine Worldwide 1001 - 5000 🛒 Retail 🛍️ eCommerce 👗 Fashion Website LinkedIn All Job Openings Lead Azure Data Engineer designing and implementing enterprise-scale data solutions using Microsoft Azure technologies for Wolverine Worldwide's diverse product portfolio. 🇺🇸 United States – Remote 💵 $128k - $168k / year ⏰ Full Time 🟠 Senior 🚰 Data Engineer Azure View More Data Engineer Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Privacy policy Terms of service Job board SEO course AI Apply Copilot OpenClaw job finder Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs

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Hard Skills & Tools

CADmechanical engineeringmanufacturing designannotationGD&Tdata processingdata quality assessmentdata pipeline improvementtechnical documentationengineering reasoning

Soft Skills

problem-solvingcommunicationcross-functional collaborationengineering judgmentfeedback provisioninfluencecustomer guidanceworkflow efficiencydata consistencyrisk management