Top Engineering Jobs

Build and maintain resilient, containerized NodeJS ETL applications that extract operational technology data, translate it into a common model, and load it into PostgreSQL and AWS RDS. Integrate legacy and modern protocols, troubleshoot production connectivity issues, write thoroughly tested code, and collaborate on shared tooling. Deploy and manage applications using Kubernetes, CloudFormation, and Ansible while supporting reliable data flows from edge environments to the cloud.

Design, build, and maintain high-throughput backend services and APIs for FactSet’s Investment Book of Record platform using C# and .NET Core. Develop Python-based data pipelines, reconciliation tools, and analytics scripts; manage MongoDB and MySQL performance and integrity; contribute to architecture and code reviews; collaborate with product managers; and mentor junior engineers.

Designs, develops, and maintains high-performance full-stack Order Management System features for financial trading applications. The role focuses on Java backend development, frontend functionality, scalability, low latency, troubleshooting, architecture, code reviews, mentoring, and technical collaboration with product and engineering teams.

Design, develop, and maintain high-performance Order Management System features across Java backend and JavaScript frontend components. Collaborate with product managers and engineers, participate in code reviews, mentor junior developers, optimize scalability and low latency, troubleshoot full-stack issues, and contribute to architecture, planning, and documentation.

Leads enterprise Linux systems administration and infrastructure strategy across multiple locations. Responsibilities include installing, maintaining, troubleshooting, and enhancing Linux environments; supporting virtualization, cloud, directory, monitoring, and middleware systems; resolving complex incidents; implementing automation; ensuring compliance, disaster recovery, and high availability; and advising business and technical teams on infrastructure design and reliability.

Provides senior-level Windows systems administration across multiple locations, including installation, maintenance, troubleshooting, incident remediation, compliance, testing, staging, and reliability improvements. Supports Microsoft Server clustering, VMware, virtualization, cloud infrastructure, directory services, and monitoring platforms. Advises clients, evaluates hardware and software, conducts performance testing and training, and implements automation and AI-enabled solutions. Requires U.S. citizenship and residency, with eligibility for applicable export-control authorizations.

Engineering internship supporting projects across mechanical, application, electrical, process, medtech, quality, and operations functions in a manufacturing environment. Interns collaborate with mentors, learn business processes, contribute to large-scale projects, build cross-functional relationships, and complete two to three hands-on projects during a 12- to 16-week rotation.

Serve as the senior technical authority for Mayo Clinic’s enterprise robotics architecture. Define standards, reference architectures, vendor evaluation frameworks, interoperability, data governance, observability, orchestration, security, safety, and reliability for heterogeneous robot fleets. Establish multi-year technical direction for AI-driven autonomous, generalist, and humanoid systems in a regulated healthcare environment.

Leads firmwide infrastructure strategy, engineering, cloud services, network and data center operations across more than 60 locations. Oversees Microsoft cloud platforms, cybersecurity controls, reliability, disaster recovery, modernization, vendors, budgets, service metrics, and managed service providers. Partners with executive, legal, business, and technical stakeholders to deliver secure, resilient, scalable technology services while maintaining confidentiality and compliance. Builds multi-year roadmaps, leads infrastructure teams, supports office expansions, and drives operational excellence.

Owns the administration, integration, security, monitoring, troubleshooting, and lifecycle management of enterprise and legal technology applications. The role supports platforms including NetDocuments, Litera, Intapp, and Microsoft 365; manages implementations, upgrades, patches, vendors, and application security; develops automation; resolves complex integration issues; maintains documentation; and improves application reliability, availability, and user experience.

Leads the design, development, integration, modernization, automation, and optimization of complex enterprise healthcare applications. Architects data pipelines and interfaces, manages upgrades and performance tuning, partners with architecture and security teams, establishes technical standards, and mentors engineers. The role requires expertise in healthcare interoperability, enterprise application architecture, scripting, deployment pipelines, security, scalability, and regulatory compliance.

Design, develop, configure, and support Edifecs applications and healthcare EDI interfaces. Process HIPAA transactions, create mappings and validation rules, troubleshoot production integration issues, and collaborate with business and operations teams. Support testing, documentation, regulatory compliance, and workflow improvements across payer environments.

Build and ship native iOS video-editing and creative tools, including user interfaces, graphics rendering, and audio/video processing. Collaborate with designers and cross-functional teammates, own projects end-to-end, and use experimentation and production data to iterate rapidly. The role requires strong software engineering fundamentals and experience delivering high-impact mobile products in production.

Entry-level engineering trainees will contribute across the software and data development lifecycle, including requirements analysis, architecture, coding, testing, deployment, documentation, and maintenance. They will gain hands-on experience with cloud, data engineering, LLMs, prompt engineering, autonomous AI agents, ETL/ELT pipelines, distributed data systems, APIs, CI/CD, and software quality practices. The role requires collaboration, problem-solving, communication, adaptability, and full-time work from the Schaumburg office.