Top Tech Jobs & Startup Jobs in Chicago, IL

Manages client, compliance, and performance reporting across healthcare programs using eligibility and claims data. Leads reporting analysts while remaining hands-on with advanced SQL, dashboards, data crosswalks, validation, reconciliation, root-cause analysis, and data-quality monitoring. Partners with data engineering and clients to resolve upstream issues, establish reporting standards, and guide the analytics roadmap.

Owns end-to-end administration of FMLA, state, disability, ADA-related, military, and company leave programs for a nationwide remote workforce. Ensures multi-state compliance, manages certifications and intermittent leave, coordinates with payroll and vendors, supports return-to-work processes, and advises employees and managers. Provides backup benefits administration for health, welfare, retirement, COBRA, enrollment, audits, and vendor escalations. Maintains policies, records, training, reporting, and process improvements.

Owns drafting and negotiation of AI, data, privacy, security, IP, and commercial contract terms for healthcare technology deals. Advises Sales, Client Success, product, and engineering on data rights, model training, PHI, HIPAA, licensing, and regulatory requirements. Negotiates customer, vendor, partner, SaaS, reseller, government subcontract, and technology agreements; manages deals through signature; maintains templates and playbooks; and escalates nonstandard privacy, compliance, and risk positions.

The Product Marketing Manager will support messaging and positioning, develop customer insights, create marketing assets, assist in product launches, and enable sales efforts.

Owns revenue retention, expansion, renewals, and new business across strategic national health plan accounts. Leads complex enterprise sales cycles, account planning, forecasting, executive relationships, pricing, contracting, and implementation handoffs. Expands services across payment integrity offerings, including recovery, editing, and audit solutions. Coordinates Finance, Legal, Client Success, Product, Clinical, Analytics, Operations, and Implementation teams while managing competitive strategy and payer relationships. Travel is expected 10–25% of the time.

Staff-level platform engineer to improve and scale inherited Scala systems, redesign data layers for ML/AI, build a Rust service framework, enhance observability and resilience, shape developer tooling and standards, and work across JVM, Rust, Python, SQL, and Spark.

Own the analytics data layer by translating stakeholder needs into certified dimensional models, governed metrics, semantic layers, dashboards, and reports. Build with dbt, SQL, Databricks, Power BI, and Airflow while ensuring data quality, observability, reconciliation, documentation, and dependable orchestration. Partner closely with finance, operations, and client-facing teams, automate recurring workflows, and use AI-assisted engineering practices in a fully remote environment.

Manage software engineering programs from requirements through production delivery. Coordinate cross-functional dependencies across engineering, data science, data engineering, DevOps, product, and external stakeholders. Track schedules, milestones, risks, critical paths, resourcing, quality, and release commitments. Improve engineering processes, identify delivery gaps, facilitate resolution, and ensure successful end-to-end product execution in a fast-paced environment.

Design user-centered solutions for complex healthcare intelligence products through research, ideation, wireframing, prototyping, documentation, and design-system development. Collaborate with product managers, engineers, and domain experts to support implementation, maintain consistency, and improve user experiences. The role requires strong UX/UI expertise, analytical problem-solving, communication, adaptability, and more than six years of experience.

Senior backend engineer responsible for setting technical direction, designing scalable distributed systems, building customer-facing web applications, mentoring engineers, and applying machine learning to large-scale healthcare data. The role requires Java, Scala, or Rust expertise, cloud systems experience, technical design leadership, cross-functional collaboration, and adoption of agentic engineering practices.