Top Remote Software Engineer Jobs in Chicago, IL

As a Junior Data Engineer, you will build and support data migration staging environments and warehouses, assist with business and regulatory reporting, profile downstream data for anomalies, collaborate with QA to develop test cases, and create reporting scripts while reviewing peer work.

The AI Engineer at Founders Workshop develops AI services and applications, working with unstructured data and utilizing machine learning frameworks. Responsibilities include prompt generation, REST API development, and collaboration with project teams in a fast-paced Agile/Scrum environment.

The Senior Solution Architect works with customers to meet their technology and business needs using Redis products. Responsibilities include understanding client requirements, collaborating with sales teams, conducting presentations, and improving technical materials based on feedback. This role involves hands-on work with Redis databases and database programming while managing customer POCs and pilots.

As a Lead Software Engineer, you will develop and maintain Azure-based web applications and backend systems, drive architecture improvements, mentor junior engineers, collaborate with teams on production issues, and provide technical leadership for the payroll card program.

This role in National Accounts Underwriting involves risk selection, pricing, and proposals for Group Disability and Life insurance for large clients. Responsibilities include evaluating and negotiating rates, providing analytics, managing existing accounts, and mentoring junior underwriters.

The Senior Network Engineer will design, implement, and support enterprise network solutions, manage vendor relationships, develop technical documentation, and lead network initiatives, ensuring best practices and adherence to ITIL procedures are followed. Responsibilities include troubleshooting, lifecycle management of network assets, and delivering presentations on emerging technologies.

The Data Architect will develop datasets for data visualization and machine learning, automate pipelines for structured and unstructured data, and collaborate with teams to create data products. This role includes building ingestion pipelines, providing thought leadership, and ensuring project delivery from design to launch.