Top Remote Data Engineer Jobs in Chicago, IL
The Data Modeler will collaborate with technology and product teams to design and maintain data models for the enterprise data warehouse. Responsibilities include leading design discussions, managing data quality, guiding product teams in data model creation, and ensuring adherence to standards while facilitating stakeholder discussions.
The Data Modeler will lead the design and implementation of data models for an enterprise data warehouse, manage data quality, guide product teams, and interact with various stakeholders. The role requires deep expertise in data modeling, database technologies, and analytics solutions.
As a Data and Analytics Staff Consultant, you will collaborate on consulting projects, author project documents, manage your time efficiently, and support clients with training and knowledge transfer. You will also assist in project scope prioritization and adherence to delivery models while refining business and technical requirements.
The Sr. Data Operations Engineer at Beyond Finance will support the data engineering and business intelligence teams, focusing on data sharing, improving SQL queries, assessing database performance, responding to support queries, developing ETL code, and maintaining data security. Key responsibilities include troubleshooting, managing data flow, and collaborating with various stakeholders.
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The Principal Data Management role involves designing, developing, and implementing a long-term enterprise data management and governance program. The position requires collaboration with internal stakeholders and external vendors to enhance data stewardship, manage metadata, and ensure compliance with data retention policies.
The Geospatial Analytics Data Platform Architect will design and implement geospatial data architectures for large-scale analytics and machine learning using GCP. The role includes establishing data governance frameworks, leading cross-functional teams, and providing geospatial expertise to create innovative data solutions.
As a Principal Database Engineer, you will design and develop core modules for a data integration and analytics cloud platform, work with the engineering team on web applications, ensure compliance with quality standards, and provide technical guidance and support to other engineers.
The Director, Data Integration will oversee claims data integration, ensuring accurate and timely data integration across systems. This role involves leading a team of data engineers, shaping data strategy, engaging in product development, and collaborating closely with clients to drive successful data initiatives.
As a Senior Data Engineer at Arcadia, you will develop solution architecture, automate data pipelines connecting client claim and clinical data platforms with our health solution platform, and contribute to improving data integration tools. You will participate in scrum ceremonies, code reviews, and manage multiple implementations simultaneously.
As a Senior Data Engineer at Dandy, you will design and maintain data infrastructure, own end-to-end data pipelines, and collaborate with stakeholders to ensure reliable data solutions. You'll mentor junior engineers and continuously improve systems to enhance data-driven decision-making across the organization.
As a Senior Machine Learning Engineer, you will design data pipelines, develop machine learning models, and collaborate with various teams to integrate ML capabilities into products. You will also train others, conduct experiments to validate outcomes, and serve as a thought leader in data-driven innovations.
The Senior Data Engineer will design and architect data pipelines and ETL processes, maintain data lakehouse solutions, optimize data strategies across cloud platforms, mentor junior engineers, and ensure the high availability of data infrastructure while collaborating with data scientists for advanced analytics initiatives.
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