Top Data Engineer Jobs in Chicago, IL
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Lead Cash App's Personalization ML Modeling group, overseeing all personalization ML work, partnering with product leaders, and establishing ML/AI as a pillar in product development.
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Oversee the end-to-end lifecycle of critical Database Server systems, including automation, implementation, configuration, maintenance, monitoring, upgrade, and performance optimization. Responsible for managing SQL Server systems, designing SQL Architecture for Cloud Service Offerings, ensuring high levels of performance, availability, sustainability, and security, and performing scheduled maintenance and upgrades.
Data engineer role at Kin, a home insurance company. Responsible for creating and maintaining ETL pipelines, working with data science and BI teams, collaborating with cross-functional team members, and providing subject matter expertise and support. Requires 3+ years of data engineering experience, experience with ETL pipelines and data integration tools, exposure to data visualization tools like Looker, and experience in building data warehouse platforms.
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Senior Software Engineer in the Central AI team at Atlassian responsible for building core infrastructure for machine learning engineers and data scientists. Lead projects from technical design to launch and collaborate with internal teams. Requires 5+ years of software development experience.
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Collaborate with Agile teams to design, develop, test, and implement technical solutions in full-stack development tools and technologies. Utilize programming languages like Java, Scala, Python, and work with data warehousing services. Share tech trends and mentor team members. Deliver robust cloud-based solutions for financial empowerment. Perform unit tests and code reviews.
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Design, develop and deliver data products to production, solve technical problems, define and extend data architecture standards, mentor team members, propose ideas for improvement, implement ETL processes, work closely with Data Scientists and Product Managers.
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Senior Data Engineer at Arcadia focusing on enhancing and managing the Epic EMR integration pipeline. Responsible for designing, documenting, and improving data pipelines.
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Seeking a Sr. Applied Machine Learning Scientist with a Master's degree in Computer Science or related field. Must have at least 3 years of experience developing computer vision models, fine-tuning NLP models, building ML pipelines, and manipulating high-volume data. Responsibilities include conducting research, leading AI/ML solutions, and collaborating with business stakeholders. Up to 60% remote work allowed.
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Develop and maintain scalable data pipelines, collaborate with analytics and business teams, monitor data quality, write tests and documentation, and work on data analysis. Design data integrations, data quality framework, and long-term data platform architecture. Bachelor's degree in Computer Science or related field required.
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Contribute to the team by leveraging expertise in data management and optimization to make a significant impact. Collaborate closely with cross-functional teams and play a crucial role in shaping the future of products and ongoing success.
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