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Today

Data Engineer/AI Solution Engineer

W. L. Gore & Associates Elkton, MD

Elkton, MD

Today

$110k - $153k/yr Full time Backend Developer Artificial Intelligence Azure

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Job Description

The Data Engineer/AI Solution Engineer role supports Gore Performance Solutions (GPS) Applied Research (AR) by building a database architecture and AI/ML foundation that makes Gore materials and characterization data searchable, reusable, and ready for predictive analytics. You will own end-to-end technical delivery across data platforms, secure access, APIs, and AI-enabled workflows.

Key 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, to provide scientists and engineers with access to data, models, and AI-enabled tools.
Own the platform’s cloud architecture and deployments on Microsoft Azure, including Azure Container Apps and Azure Static Web Apps, along with monitoring, scaling, and production configuration.
Architect and build responsive frontend applications using Angular or React for an intuitive interface to data and analytical tools.
Implement authentication and authorization using Microsoft Entra ID (App Registrations, tokens, and Entra Groups), and extend role-based access control (RBAC) down to the database level.
Coordinate 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 for reliable, repeatable platform deployment.
Design and implement AI/ML-enabled workflows such as predictive analytics, process-structure-property models, and LLM-assisted tools to support faster, higher-quality NPD decisions.
Convert complex materials science, characterization, and regulatory/quality requirements into structured data models, workflows, and system logic.
Collaborate with AR scientists and engineers, the Innovation team, and GPS IT to identify opportunities, define requirements, and deliver scalable solutions.
Document platform architecture and solutions, and establish reusable frameworks and standards to scale capability beyond the initial data family.

Required Qualifications

Bachelor’s degree in Engineering, Computer Science, Data Engineering, Software Engineering, or a related technical field.
Minimum 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 1 year of demonstrated experience developing AI/ML models or workflow-based automation and 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 using 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 RBAC.
Experience developing and maintaining REST APIs, with comfort working with asynchronous execution states and data flows.
Strong problem-solving skills and the ability to work independently in ambiguous, cross-functional environments while influencing without direct authority.
Ability to travel up to 5%.

Preferred / 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 (for example, 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).
Ability to provide sustained technical ownership and continuity for the platform as materials, data, and business needs evolve.

Technology Stack

PostgreSQL
Python
REST APIs
Microsoft Azure, Azure Container Apps, Azure Static Web Apps
Angular, React
Microsoft Entra ID, including App Registrations and Entra Groups; RBAC
CI/CD, Infrastructure as Code
LLM-assisted tools
Git, C++, Java

Location and Work Arrangement

Elkton, MD 21922 (Hybrid). This position offers a hybrid work arrangement in the country from which the associate is employed. Eligibility depends on the responsibilities of the role and business needs, and the Associate must agree to comply with Gore’s work arrangement policies.

Salary and Pay Details

$110,000 - $153,000 per year
Roles above $150k are eligible for a variable pay program each fiscal year based on defined business performance metrics.
Factors considered in extending an offer within this pay range include education, experience, knowledge, skills, and abilities.

Benefits

Medical, Dental and Vision benefits effective on Day 1 of employment
Variable pay program each fiscal year for roles above $150k, based on defined business performance metrics
Comprehensive total rewards package, including competitive benefits
Associate Stock Ownership Plan in each country
Potential opportunities for profit-sharing

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4d ago

Trading & Analytics Model Developer - Technical Lead

Freddie Mac McLean, VA

McLean, VA

4d ago

$147k - $221k/yr Full time Backend Developer APIs Application Security

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Job Description

Freddie Mac is hiring a Trading Analytics Development Technical Lead to support its Investments and Capital Markets (I&CM) trading and analytics development team in Virginia. This is a hands-on technical leadership role focused on building and modernizing full-stack applications and services that support production delivery.

Working onsite in McLean, VA, you will lead engineering execution across a Java and Python technology stack, influence technical direction, and partner with product and architecture stakeholders to deliver secure, reliable, and maintainable solutions.

Role responsibilities

Develop and maintain software using Java and Python in alignment with software engineering best practices.
Make and shape technical decisions, mentor developers, resolve engineering blockers, and coordinate with engineering managers to support delivery.
Provide hands-on technical direction for full-stack applications, APIs, microservices, and integration services, reinforcing discipline across design, development, testing, deployment, observability, and production readiness.
Partner with Product Owners, engineering managers, architecture, business stakeholders, and cross-functional technology teams to align technical priorities, manage dependencies, and deliver business outcomes.
Drive design and implementation of Java-based microservices, REST APIs, front-end applications, and integration services using modern technologies such as Java, Spring Boot, AWS, Angular or React, SQL, relational databases, CI/CD pipelines, and automated testing frameworks.
Build proofs of concept, demos, and prototypes to assess emerging technologies and validate new ideas.
Establish and reinforce engineering standards for scalable design, code quality, automated testing, peer reviews, deployment discipline, application security, and operational readiness.
Ensure solutions account for compliance, auditability, security, resiliency, accessibility, and production support considerations.
Improve production support practices through incident triage, root-cause analysis, observability, recovery patterns, and continuous improvement of application and platform reliability.
Mentor developers through design reviews, code reviews, technical problem solving, implementation guidance, and knowledge sharing.

Required qualifications

8+ years of related software engineering or technology delivery experience, including demonstrated technical leadership guiding teams through complex application delivery.
Bachelor’s degree in computer science, information systems, or a related technical discipline; advanced degree preferred.
Demonstrated experience leading software development across full-stack applications, APIs, microservices, platform modernization, integration services, and production enhancements.
Hands-on or technical leadership experience with Java, Spring Boot, Spring Security, Spring Batch, Spring Data, REST APIs, microservices architecture, Angular or React, SQL, relational databases, CI/CD pipelines, and automated testing frameworks.
Hands-on experience with Python application development using Pandas, Django, Flask, and Pytests.
Strong foundation in full-stack engineering, application architecture, API design, enterprise integration patterns, application security, performance and resiliency, and delivery of scalable digital products.
Experience establishing and applying engineering standards including scalability, code quality, automated testing, peer reviews, deployment discipline, performance optimization, compliance, auditability, and production readiness.
Experience supporting production reliability through incident triage, root-cause analysis, observability, resiliency improvements, and operational readiness practices.
Strong technical leadership skills: mentoring, coaching, peer review, influencing without direct authority, and practical engineering guidance.
Ability to coordinate technical dependencies with vendors, Product Owners, architecture teams, business stakeholders, and internal engineering teams.
Knowledge of automated CI/CD processes and DevOps methodology, including tools such as Jenkins, SonarQube, Docker, Artifactory, and GitHub Copilot.

Technologies

Java, Python, Pandas, Django, Flask, Pytests
Spring Boot, Spring Security, Spring Batch, Spring Data
REST APIs, microservices architecture
Angular, React, SQL, relational databases
CI/CD pipelines, automated testing frameworks, AWS
Jenkins, SonarQube, Docker, Artifactory, GitHub Copilot

Compensation and benefits

Salary: USD 147,000 - 221,000 per year
Comprehensive total rewards package including competitive compensation and market-leading benefit programs
Annual incentive program

Keys to success

Promote collaboration and a culture of integrity and professionalism.
Work with accountability and pride.
Bring hands-on technical strength.
Communicate clearly and drive progress with a focus on getting the job done.
Stay agile and open-minded to embrace new technologies.
Take on a wide range of tasks to keep momentum moving forward.

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Front End Development Data Jobs

Data Engineer/AI Solution Engineer

Trading & Analytics Model Developer - Technical Lead

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