Data Engineer/AI Solution Engineer

wlgore

Elkton (MD)

Hybrid

USD 110,000 - 153,000

Full time

2 days ago
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Benefits offered by this job

Day 1 benefits
Stock Ownership Plan
Hybrid work arrangement

Job summary

Gore is seeking a Data Engineer/AI Solution Engineer to own the materials data platform, from database design to AI-ready pipelines, on Azure. You will collaborate with AR scientists, Innovation, and GPS IT to translate data into scalable digital solutions and contribute to NPD decisions.

Location can be Elkton MD or Newark DE with a hybrid work arrangement. Qualifications include PostgreSQL expertise, Python, Azure, and RBAC, plus frontend skills in Angular/React.

Qualifications

  • Bachelor's degree in a technical field is required.
  • 1+ year in database architecture with PostgreSQL.
  • 1+ year in AI/ML models or automation workflows.
  • Proficiency in Python and Git, web apps with Angular/React.
  • Hands-on experience with Azure and Entra ID RBAC.
  • Experience building REST APIs and cloud deployments.

Responsibilities

  • Design, build, and maintain PostgreSQL architecture with access controls.
  • Develop Python libraries and data-ingestion pipelines at scale.
  • Build REST APIs and web apps to access data, models, and tools.
  • Own Azure cloud architecture including App Services and monitoring.
  • Create frontend apps with Angular or React for researchers.
  • Implement authentication via Entra ID and RBAC at data level.
  • Set up CI/CD and Infrastructure as Code for deployment.
  • Design AI/ML workflows for predictive analytics and FFU data.
  • Translate materials science data needs into structured models.
  • Collaborate with AR scientists and IT to scale solutions.
  • Document architecture and establish reusable standards.

Skills

PostgreSQL
Python
Angular
React
Git
Azure
RBAC
REST APIs

Education

Bachelor's degree in Engineering, CS, Data Eng, or related field

Tools

Azure Container Apps
Azure Static Web Apps
Microsoft Entra ID
GitHub Actions
Terraform
Databricks
Snowflake

Job description

Data Engineer/AI Solution Engineer

Job Description

About the Role

We are hiring a Data Engineer/AI Solution Engineer to join the Gore Performance Solution (GPS) Applied Research (AR) team and build the database architecture and AI/ML foundation needed to make Gore's materials, characterization, and fitness-for-use (FFU) data searchable, reusable, and ready for predictive analytics.

In this role, you will take end-to-end technical ownership of the Gore materials data and its supporting storage platform – from database architecture and data pipelines through cloud infrastructure, secure application access, and applied AI/ML. You will partner closely with AR scientists and engineers, the Innovation team, and GPS IT to translate materials, process, and product data and knowledge into scalable digital solutions. This role is expected to grow into a shared GPS Innovation capability supporting multiple research and NPD programs.

This position will be located at our facility in Elkton, Maryland or Newark, Delaware with the possibility of a hybrid work arrangement.

Pay and Benefits
  • $110,000 - $153,000 per year
  • Roles above $150k are eligible for the variable pay program each fiscal year, based on defined business performance metrics.
  • Factors considered in extending an offer within this pay range include (but not limited to) education, experience, knowledge, skills, and abilities.
  • Medical, Dental and Vision benefits effective on Day 1 of employment! We offer a comprehensive total rewards package, including competitive benefits. More details are available at www.gore.com/careers/benefits.
Responsibilities
  • Design, build, and maintain PostgreSQL database architecture, including permissions, views, optimized query rules, and fine-grained access control.
  • Develop standardized Python libraries and automated data-ingestion pipelines to capture materials, characterization, and fitness-for-use (FFU) testing data at scale.
  • Build and maintain REST APIs and user-friendly access tools – including web applications – that make data, models, and AI-enabled tools available to scientists and engineers.
  • Own the platform's cloud architecture and deployment on Microsoft Azure, including Azure Container Apps and Azure Static Web Apps, plus monitoring, scaling, and production configuration.
  • Architect and build responsive frontend applications (Angular or React) that give researchers an intuitive, well-designed interface to data and analytical tools.
  • Implement authentication and authorization using Microsoft Entra ID (App Registrations, tokens, and Entra Groups), extending role-based access control (RBAC) down to the database level.
  • Partner with GPS IT to integrate security groups, pipelines, APIs, and applications into enterprise infrastructure with appropriate security, access controls, and long-term support.
  • Set up automated CI/CD pipelines and Infrastructure as Code to enable reliable, repeatable deployment of the platform.
  • Design and implement AI/ML-enabled workflows – such as predictive analytics, process-structure-property models, and LLM-assisted tools – that support faster, higher-quality NPD decisions.
  • Translate complex materials science, characterization, and regulatory/quality requirements into structured data models, workflows, and system logic.
  • Collaborate cross-functionally with AR scientists/engineers, the Innovation team, and GPS IT to identify opportunities, define requirements, and deliver scalable solutions.
  • Document platform architecture and solutions, as well as establish reusable frameworks and standards to enable this capability to scale beyond the initial data family.
Required Qualifications
  • Bachelor's degree in Engineering, Computer Science, Data Engineering, Software Engineering, or a related technical field.
  • Minimum of 1 year of demonstrated experience in database architecture and design, with solid proficiency in PostgreSQL, including permissions, views, optimized query rules, and access control.
  • Minimum of 1 year of demonstrated experience developing AI/ML models or workflow-based automation/decision-support solutions.
  • Software development experience in Python (or another general-purpose object-oriented language such as C++ or Java), and proficiency with Git.
  • Experience building responsive, multi-page web applications with Angular or React.
  • Hands-on experience with Microsoft Azure.
  • Deep understanding of Microsoft Entra ID (Azure AD), including configuring App Registrations, tokens, and Entra Groups for Role-Based Access Control (RBAC).
  • Experience developing and maintaining REST APIs, and comfort working with asynchronous execution states and data flows.
  • Strong problem-solving skills and the ability to operate independently in ambiguous, cross-functional environments, influencing without direct authority.
  • Ability to travel up to 5%.
Desired Qualifications
  • Familiarity with materials science, characterization methods, or fitness-for-use (FFU) testing data, ideally in a regulated or advanced-materials environment.
  • Experience with web-based visualization tools such as vega-lite and D3, and building data-dense engineering dashboards.
  • Experience setting up automated CI/CD pipelines (e.g., GitHub Actions or Azure DevOps).
  • Experience writing Infrastructure as Code (IaC) using Azure Bicep or Terraform.
  • Experience with cloud data warehouses and analytics engines such as Databricks or Snowflake.
  • Experience with AI-assisted workflows, LLM-based tools, or prompt-driven solution design.
  • Experience with Microsoft Power Platform (Power Apps, Power Automate, Dataverse).
  • Provide sustained technical ownership and continuity for the platform as materials, data, and business needs evolve.

This position offers a hybrid work arrangement in the country from which the Associate is employed. Eligibility is dependent on the responsibilities of the role and business needs, and the Associate must agree to comply with Gore's work arrangement policies.

What We Offer

Our success is based on the capability and creativity of our Associates, and we are proud to offer a comprehensive and competitive total rewards program that supports your everyday and helps you build your tomorrow.
We provide benefits that offer choice and flexibility and promote overall well-being. And in keeping with our belief that every Associate should share in the collective success of the enterprise; we provide a distinctive Associate Stock Ownership Plan in each country as well as potential opportunities for profit-sharing. Learn more at gore.com/careers/benefits.
Gore is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, national origin, ancestry, age, status as a qualified individual with a disability, genetic information, pregnancy status, medical condition, marital status, sexual orientation, status as a protected veteran, gender identity and expression, and any other characteristic protected by applicable laws and regulations.
Gore is committed to a drug-free workplace. All employment is contingent upon successful completion of drug and background screening. Gore will consider qualified applicants with criminal histories, e.g., arrest and conviction records, in a manner consistent with the requirements of applicable laws.
Gore requires all applicants to be eligible to work within the United States. Gore generally will not sponsor visas unless otherwise noted on the position description.

About Gore

For over 65 years, Gore has improved lives through discovery, product innovation and rewarding careers for Associates. We push the boundaries of what's possible - not just through our products and technologies but also through individual growth and development.

We believe in the strength of a diverse and inclusive workplace. With diverse perspectives, ideas and experiences, we uncover new possibilities and make a greater impact in the world. Our Associates build on a rich history of innovation, upholding Gore's values and supporting an inclusive work environment where we treat each other and our external partners with fairness, dignity and respect.

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