Top Tech Jobs & Startup Jobs in Chicago, IL

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.

The role involves collaborating with teams to design and deploy ML models, develop scalable AI applications, and optimize performance using GCP and Vertex AI.

The DS/AI Tech Partner will lead business development in AI/ML, design enterprise-level data science solutions, and drive strategic initiatives, while mentoring teams and delivering client-specific outcomes.

Lead analytics consulting efforts by applying data science and MLOps techniques, collaborating with clients to design solutions, and managing projects.

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

Lead the design and deployment of AI solutions focusing on Data Engineering, Generative AI, and Agentic AI while collaborating with clients and guiding junior engineers.

Lead architectural design and delivery of advanced data solutions, focusing on Generative and Agentic AI, ensuring client satisfaction and team efficiency.

The role involves analyzing data security, designing Databricks components for access control, and collaborating on architecture documentation.

The Databricks Architect will design and implement data architecture solutions using Databricks, AWS, and Snowflake, focusing on MLOps and data governance.

Responsible for deploying, validating, and improving machine learning solutions, building data pipelines, and collaborating with teams to ensure business value.