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The Data Engineering team collaborates closely with product, data science and machine learning teams to design, build, and scale high leverage datasets that enable analytics, and experimentation.
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A broad understanding of the application aspects of natural language processing and data science methodologies and techniques, (e.g. supervised and unsupervised learning, feature selection/engineering, hyperparameter optimization, dimensionality reduction, word embeddings, etc.
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Lead design and build of data solutions and apps to enable reporting, analytics, data science, and data management using Python and Looker. Requires: Master’s Degree in Information Systems/Equivalent, plus at least 2 years of data warehouse analysis experience, and proficiency with Big Data, ETL, OLTP, NoSQL, iPaaS, Python, Looker, SQL, and AWS.
Full-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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A bachelor's degree in Data Science, Computer Science, Statistics, or a related STEM field. - 2-5+ years of relevant experience as a Data Engineer, Data Scientist or Software Engineer with a focus on data products.
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A minimum of a B.S. in a quantitative discipline: Computer Science, Software Engineering, Computer Engineering, Information Systems, Statistics, Mathematics, Engineering, Data Science, Bioinformatics/Computational Biology, etc.
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Partner with DE and other engineering teams on important related projects including CRM, mobility, telephony and a firm-wide client data strategy. Data Engineering (DE) is responsible for shaping and executing the data agenda for the firm to power data as a competitive advantage and source of innovation.
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Working with our Data Analytics, Data Science and BioMath groups to gather user needs. bioMérieux is a fast growing and profitable biotech company with a great opportunity for a Software Engineer that is interest in data engineering and software development.
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1-3 years of data operations, computer science, or related experience. Solutionreach is hiring for a Data Engineer in our Business Operations department! What is a day in the life of a Data Engineer.
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As a highly collaborative organization, our data engineers work cross-functionally with software engineering, data science, and product management to optimize growth, strategy, and experience for our 3 billion plus users, as well as our internal employee community.
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Job Title: Data Science Engineer. 2-6+ years experience in Business Intelligence Engineering, Data Engineering, Data Analysis or Data Science roles, building data pipelines, and analyzing large datasets to solve problems.
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BizApps supports the software and applications that supply most of our data, such as Salesforce and Hubspot. You will have the opportunity to become an expert in data processing using tools (like GCP.
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Bachelor's degree from an accredited college or university in computer science, information security, or a related field is preferred; relevant certifications in cybersecurity or data engineering is preferred.
Full-timeRemoteExpandUpdated 23 days ago - UpvoteDownvoteShare Job
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As a Senior Data Engineer you will contribute to the vision for data architecture and data quality across multiple company verticals. We’re looking to hire a Senior Engineer to contribute to the development of Varo’s data platform.
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Relevant certifications (e.g., Azure Data Engineer Associates, Azure Data Science Associate, Google Professional Engineer, AWS Certified Solutions Architect) are favorable.
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The position requires a minimum of a Bachelor's degree in Computer Science, Information Technology, or a related field, and 5 years' experience in the job offered or any related occupation, to include, 5 years' experience in a data engineering role; and 5 years' experience working with cloud-based PaaS platforms, including Azure; and 5 years' experience utilizing RDMS tools and languages.
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data science jobs Title: data engineer in Salt Lake City, UT
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