Top Data Engineer Jobs in Chicago, IL
The Senior AI & ML Consultant will architect and implement AI and ML solutions using OpenAI and Azure ML, lead project lifecycles, develop strategic roadmaps, and facilitate workshops to enhance AI understanding among clients. The individual will address complex business needs with innovative AI solutions while ensuring fairness in AI deployment.
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The Senior Data Engineer will design, build, and support modern data environments in cloud settings. Responsibilities include creating data pipelines, managing data processing systems, and developing scalable data solutions using various tools. The role involves close collaboration with project teams and leadership to deliver analytics and machine learning capabilities.
As a Database Engineer, you will develop databases and database code, focusing on stored procedures and ETL automation for healthcare analytics. Your role will involve collaborating with the Tech Team, optimizing database performance, and working with complex datasets to enhance client services in healthcare institutions.
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As a Data Engineer at Qarik, you will design and implement production-quality ETL pipelines, manage data lakes, and create insightful reports and dashboards. Your role involves collaborating with clients to understand their data objectives and employing tools like Databricks and Python for effective data strategies. You will also communicate technical concepts to diverse audiences and ensure optimal performance in data processing.
As a Sales Representative at CoStar, you will engage potential clients and manage existing accounts, promoting CoStar and LoopNet products. Your responsibilities include understanding client needs, handling the full sales cycle, conducting product demonstrations, and networking within the commercial real estate market.
The Mediation Data Engineer will design and maintain data processing systems for billing and analytics, focusing on creating mediation pipelines to process large transaction volumes, ensuring accuracy and compliance. Responsibilities include developing ETL processes, real-time event processing, data transformation, and collaborating with various teams to align data flows with business needs.
As a Senior Data Engineer, you'll design, build, and maintain scalable data pipelines in cloud infrastructure, collaborating with teams for data analytics and machine learning projects. Your role includes developing ETL pipelines, optimizing SQL performance, and working with both relational and NoSQL databases.
As a Data Engineer Manager at PGIM, you will design and implement scalable data pipelines using Azure services, develop data models, optimize data retrieval, and ensure data integrity while collaborating with analysts and data scientists.
The Senior Data Engineer will build and maintain robust data infrastructure, optimize data pipelines, and enhance data visualization capabilities while collaborating with stakeholders and ensuring system reliability through monitoring and testing.
As the AI Data Architect/Data Lead at Golin, you will develop and implement the agency's long-term data strategy to enhance AI-driven solutions. This includes creating a data lake, ensuring compliance with data governance, acquiring partnerships for data, and driving innovative data-driven capabilities while collaborating with various stakeholders.
Top Companies in Chicago, IL Hiring Data + Analytics Roles
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