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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT. What are we looking for in candidates.
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Work with top-flight software, mechanical, and electrical engineering talent from places like Google, Palantir, and NASA JPL. Lay the foundational groundwork for our engineering systems and practices.
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Aerospace Engineering, Automotive Engineering, Biomedical Engineering, Chemical Engineering, Computer Engineering, Engineering, Engineering Mechanics, Engineering Physics, Industrial and Operations Engineering, Industrial Engineering, Materials Science and Engineering, Mechanical Engineering, Production Engineering, Project Engineering & Management, Biomedical Science, Computer and Information Science, Data Processing/Analytics/Science.
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Our products are trusted by leading companies including PayPal, Visa, FTX, Uniswap, Anchorage, and federal agencies such as the FBI and IRS. Every day, we tackle challenges in data engineering, data science, and threat intelligence to advance our mission to build a safer financial system for billions of people.
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Understand the needs of data engineering and data science groups and deliver best-in-class solutions for them by leveraging open-source software like DBT and Dagster.
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Work with scientists and engineers across disciplines such as therapeutic molecules, stem cell engineering, chemical engineering, molecular biology, genetics, software, machine learning, and automation on the prioritization and disclosure of patent-worthy innovation.
$275,000 - $345,000 a yearFull-timeExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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Rhizome is seeking a Software Engineer who can scale our Data Engineering capacity and contribute to Machine Learning development at the enterprise scale. Successful candidates will also have practical experience building large scale ETL pipelines on AWS or GCP for data engineering, feature extraction, statistical analysis, and correlations.
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Data-processing systems (e.g., Lambda architecture, Kafka, RabbitMQ, ELK) - Domain expertise in NetSec and/or distributed systems: exploring and implementing software solutions at various software layers and devices, including kernel modules, distributed control planes & agents, management APIs, and user facing platforms (including UI.
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The CISO function works closely with many departments across PagerDuty including products, engineering, legal, sales, compliance, IT, and internal audit to manage identified risks and partner to mitigate vulnerabilities in software, systems, architecture, processes and practices.
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Fluent in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. As a member of the Data Engineering - Business ETL team, you own the data warehouse and data pipelines that are used for financial and regulatory reporting.
$120,000 - $162,500 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Bachelor's Degree in Computer Science Engineering with 12 years of IT experience in SAP Data Migration, Data Analysis, Data Audits, Process Management, Business Analysis, ECM, Business Process Re-engineering, RFPs, Quality Assurance, Data Analysis, Modeling and Testing of enterprise-wide client/server and Web-based applications and all aspects of Software Engineering and Systems Development Life Cycle (SDLC.
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10+ years of experience in data engineering, data science, and software engineering. Bachelor's or Master’s degree in Computer Science, Information Systems, or related field, or equivalent work experience.
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As the Head of Data you will be responsible for leading centralized Data functions for Square including Data Science + Analytics, Machine Learning, and Data Engineering teams and will be the architect of Square’s Data strategy.
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Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT. Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates or People looking to switch careers or who have had gaps in employment and looking to make their careers in the Tech Industry.
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Bachelor's degree in Computer Science, Computer Engineering, related technical disciplines or equivalent practical experience. A thorough understanding of and experience utilizing systems engineering protocols and concepts - DNS, DHCP, ADFS, Modern Auth. and similar or related technologies.
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big data science engineering software computer information systems jobs Company: Bank Of America in San Francisco, CA
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