Top Tech Jobs & Startup Jobs in Chicago, IL

The Azure Architect will design and migrate enterprise technology products to Azure, guiding development teams through all stages while ensuring compliance and security.

The Data Engineer will design, implement and manage data integration, pipelines, and models using tools like Snowflake and Airflow, while optimizing data processing for analytics.

Lead pricing operations and technology strategy to design scalable, cloud-native, AI-driven pricing solutions. Oversee architecture, data science model development, Agentic AI adoption, SDLC, integrations, and stakeholder alignment to operationalize pricing strategy and drive margin optimization.

Designs, builds, and maintains scalable AWS data pipelines, integrations, lakehouse infrastructure, and Airflow workflows. Processes commercial pharmaceutical data, supports pharma KPIs and analytics, and develops pipelines for AI, machine learning, generative AI, LLM, embeddings, and RAG applications. The role also includes legacy-system migration, pipeline monitoring and optimization, data quality assurance, and translating pharmaceutical business needs into reliable data solutions.

Lead end-to-end delivery of a Plant Performance Reporting transformation across manufacturing plants, manage executive stakeholders and governance, coordinate cross-functional and offshore teams, prioritize Snowflake data engineering and Power BI productionalization, oversee UAT and deployment, and drive adoption, training, and reporting standardization.

Lead end-to-end custodial data integrations from Tamarac into Salesforce, troubleshoot data and pipeline issues, and design/optimize Salesforce CRM workflows for wealth management. Serve as a hands-on SME, manage stakeholders, and deliver scalable solutions with minimal oversight.

Lead complex data and analytics programs, manage stakeholders and global teams, design AI/ML solutions, and validate outputs in the Insurance domain.

Lead business development and growth in AI/ML, provide technical leadership in data science solutions, and enhance client engagement by delivering strategic data insights.

The Sales Leader drives revenue growth by managing strategic client relationships, leading presales activities, and winning multi-million-dollar Quality Engineering deals.

Embed with client engineering teams to operationalize LLMs and retrieval systems across multi-cloud environments. Build agentic solutions using Vertex AI Agent Builder and ADK, connect agents securely to BigQuery/Spanner via MCP, implement streaming pipelines (Dataflow) for real-time inference, and manage model training, tuning, deployment, and evaluation on Vertex AI. Provide consultative guidance, cross-functional collaboration, and clear stakeholder communication to ensure business value from Generative AI solutions.