Top Tech Jobs & Startup Jobs in Chicago, IL

Configures and tests clinical platform requirements for healthcare clients, defines test scenarios and success criteria, troubleshoots technical issues, and supports implementations. Serves as a configuration subject-matter expert for client-facing teams, collaborates with Product, Development, Design, and Engineering, and helps develop scalable configuration management tools.

Leads a 20-plus-person distributed Review Engineering organization across three agile squads. Owns technical direction, production reliability, incident response, system scalability, delivery metrics, hiring, performance management, and engineering career growth. Partners with Product, Design, Security, Clinical Operations, and peer engineering teams to deliver reliable, secure, high-quality systems in a regulated healthcare environment.

Designs and delivers large-scale, governed data pipelines and infrastructure across the full data lifecycle. Responsibilities include coding in Python and SQL, optimizing Airflow, dbt, AWS, Kafka, and Iceberg/Parquet workflows, implementing data quality and observability, contributing to architecture and tool evaluations, mentoring engineers, collaborating with stakeholders, and participating in on-call support.

Analyze administrative and clinical healthcare data to build reporting solutions, identify optimization opportunities, and support clinical program effectiveness. Apply statistical analysis, data mining, and predictive modeling to improve decision-making, patient outcomes, utilization, and cost efficiency. Develop dashboards and KPIs, monitor healthcare trends, collaborate with clinical, data science, engineering, and client teams, and lead complex multidisciplinary projects.

Build and independently deliver full-stack healthcare software features using Java or Groovy, React and TypeScript, MongoDB, and Kafka. Responsibilities include design, implementation, testing, deployment, production debugging, code reviews, design documentation, dependency coordination, process improvements, and mentoring. The role requires reliable delivery with minimal oversight and collaboration across engineering, product, and QA teams in a remote-first environment.

Lead end-to-end technical integrations with enterprise healthcare customers from pre-sales through production. Scope and deliver architecture, POCs, API integrations, data mappings, and runbooks. Ensure AI/ML features meet regulatory and clinical safety standards, build reusable integration patterns, collaborate cross-functionally, and mentor junior engineers to drive successful go-lives.

Investigate, triage, prioritize, diagnose, and resolve technical issues and product bugs for healthcare technology clients. Document findings, communicate priorities, provide status updates, coordinate with product and technical teams on critical issues, translate client needs into technical actions, monitor trends, and improve bug-management processes while delivering empathetic customer support.

Lead technical analysis and design of healthcare interoperability solutions, defining data exchanges and integration workflows (APIs, HL7, X12, SFTP). Conduct client discovery, produce mappings and interface specs, investigate failures, develop tests, manage multiple implementations, support launches and steady-state operations, and mentor junior analysts.

Lead client-facing engagements to design, implement, and optimize prior-authorization decision automation for PaaS customers. Translate client needs into technical blueprints, collaborate with product and engineering, build dashboards and analyze authorization data, track KPIs, and drive continuous improvement and scale across the customer lifecycle.

Lead and mentor a client-facing analyst team to design, implement, and scale prior-authorization decision automation for PaaS clients. Consult on strategic roadmaps, translate client requirements into technical blueprints, collaborate with product and engineering, optimize processes and analytics frameworks, build visualization reports from authorization and claims data, and ensure client KPIs and end-to-end automation success across the customer lifecycle.