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BS or MS degree in Health Informatics, Data Engineering, Computer Science, Information Technology or equivalent. This position supports the flow of high quality and large quantity data into Commercial Analytics data science models, solutions, and analytics.
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Foster a data driven culture throughout the team and to participate in data science projects that will have impact throughout the organization. We are seeking a hands-on Data Integration Engineer who has deep technical expertise in Apache Airflow, Azure Data Factory and Databricks and understands how build and scale a performant data platform and enjoys enabling other team members to do the same.
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Software Engineer (Data Science, Computer Vision) We are looking for an experienced senior-level Data Scientist capable of leading our data science efforts. 3+ Years of Data Science (or 5+ Years Software Engineering) Experience.
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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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We are looking for a Data Engineer to be a senior member of the Data Services team which includes all data warehouse, data engineering and visualizations, database operations, and data science capabilities.
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For data Science/Machine learning Positions. Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT. Knowledge of Statistics, SAS, Python, Computer Vision, and data visualization tools.
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We use quick iteration and regular feedback cycles to prototype for customers, both internal and external, to provide Analytics & Solutions , backed with a sophisticated data architecture, that accelerate the flow of work from experimentation to development to production across Machine Learning, Data Science, and Research Science workflows.
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We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
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The successful candidate will have strong Python, PySpark and SQL experience, possess a clear understanding of databricks, as well as a passion for Data Science R, Machine Learning and AI. Database experience with SQL and No-SQL – Aurora, MS SQL Server, MySQL is expected, as well as significant C#, Agile and Scrum exposure along with SOLID principles.
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The Data Engineer will be responsible for optimizing our database architecture and data processing systems. The Data Engineer on the Revenue Analytics team will collect, manage, and convert raw data into information that can be interpreted to help optimize Frontier's revenue generation and profitability.
$72,000 - $93,525Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Job Title: Senior Data Engineer. Scripting in Scala, Java, or Python to utilize Hadoop/Spark to collect and manage data at scale; Assisting in managing and automating Data Governance and Data Security Standards and administering and maintaining data infrastructure.
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Have had previous exposure to data science and machine learning methods. Developing and scheduling processes to extract, transform, and store data from SQL databases, Azure cloud services (Azure Data Factory, Azure CosmosDB, etc), Google cloud service, Amazon Web Services (Amazon Aurora, Lambda Functions, Redshift, etc) and Snowflake.
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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.
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Qualifications: Bachelor’s degree in Computer Science, Engineering, or related field ( or proven experience (7+ years) in data engineering, dashboard development, or a related role) Job Overview: We are seeking a highly skilled Staff Data Solution Engineer to join our team.
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Empower the business by creating value through the increased adoption of data, data science and business intelligence landscape. Collaborate with internal clients (data science and product teams) to drive solutioning and POC discussions.
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data science jobs Title: data engineer in Denver, CO
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