Top Data Engineer Jobs in Kansas City, MO
As a Python Data Engineer, you'll build and maintain data ingestion and streaming infrastructure, evolve web crawling systems, and create ETL pipelines connecting to APIs and datasets while collaborating with global engineering teams.
The Senior Applied AI Scientist will drive research and development in NLP, TTS, and computer vision, mentoring engineers and managing projects. The role involves implementing cutting-edge technologies and supporting the growth of the AI team to deliver high-quality outputs for Speechify's services.
This position involves supporting students in data analytics boot camps through various roles such as Teaching Assistants, Tutors, Learning Assistants, and Graders. Responsibilities include facilitating lessons, providing one-on-one support, engaging with students on structured schedules, and offering detailed feedback on assignments.
The Security Data Architect will discover, design, and implement techniques to consume and analyze data from multiple sources to enhance Halcyon's anti-ransomware solution. Responsibilities include data cleaning, correlation, modeling, reporting, and suggesting improvements for data collection and storage effectiveness.
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As a Data Engineer at Coinbase, you will build and maintain data solutions, design robust data pipelines, ensure data quality, and develop automation tools to enhance data science processes and empower user access to accurate data.
Looking for a Sr. Data Scientist to design, build, and train algorithms and models for large enterprise customers. Responsibilities include collaborating with stakeholders, data manipulation, authoring reports, engaging with development teams, and driving thought leadership. Qualifications require an advanced degree or exceptional ability in a relevant field, 3-5+ years of hands-on experience, knowledge in mathematics and machine learning, and strong computer science fundamentals.
As a Data Engineer at Edge & Node, you will enhance Graph Node's capabilities, work with complex Rust code, assess performance, and document important aspects of the software while collaborating with a team on improving data processing and querying engines.
The Sr. Power BI Expert will design and develop visualizations in Power BI, create calculated measures using DAX, publish reports, and collaborate with stakeholders in an Agile environment to derive actionable insights from complex data.
The Data Editor will lead efforts to create and integrate data for WSJ Pro products, enhance data journalism, oversee datasets, and collaborate with bureau chiefs. They will facilitate the development of usable data for financial professionals and engage in data visualization strategies.
The Principal Data Engineer will lead the design and implementation of modern data processing platforms, develop scalable data solutions, and collaborate across teams to optimize data pipelines. They will mentor the data engineering team and create tools that drive innovation and operational excellence, focusing on the healthcare sector.
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