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Craft data-engineering pipelines (using tools like BigQuery) to identify security vulnerabilities before they've been exploited. You'll also become an expert on modern development trends, especially the cloud-native stack, devsecops, Gitops, and modern data-engineering pipelines.
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A bachelor's or master's degree in business, accounting, finance, computer science, information systems, engineering, or a related discipline. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
$154,700 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Emerging ML is the data science and machine learning team inside Capital One’s Applied Research organization. Technical: You have hands-on experience developing data science solutions from concept to production using open source tools and modern cloud computing platforms.
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Proficiency in programming languages such as Python, Java, or Scala, and experience with data processing frameworks such as Apache Spark, Apache Beam, or Apache Flink. Data Orchestration: Orchestrate and schedule data pipeline workflows using workflow management tools and frameworks (e.g., Apache Airflow, Luigi, Prefect.
$210,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Ideal candidates will also have some contentious practice experience, such as working on regulatory investigations and/or litigation, ideally focused on tech, data, privacy, cybersecurity or related issues, have experience with drafting and reviewing data processing agreements, privacy policies, and security policies, as well as providing day-to-day privacy advice to in-house counsel and start-up executives.
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Experience with modern data stack like Airflow/Astronomer, Fivetran, Tableau/Looker. Experience with data warehouses like BigQuery, Databricks, Snowflake, and Postgres. Design, develop, and own robust, scalable data processing and data integration pipelines using Python, dbt, Kafka, Airflow, PySpark, SparkSQL, and REST API endpoints to ingest data from various external data sources to Data Lake. Develop testing frameworks and monitoring to improve data quality, observability, pipeline reliability, and performance Orchestrate sophisticated data flow patterns across a variety of disparate tooling.
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Our key stakeholders include the Data Science org, the Engineering org (both Infra and Product teams), and the ML org, amongst many others. In practice, our responsibilities span a vast surface area ranging from streaming and batch ingestion, data job orchestration, data warehousing, and creating simple interfaces for users to load and transform data into insights and product features.
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FT DAYSUnder the general supervision of the Medical Director of the Echocardiography Lab and the Associate Director of Cardiovascular Diagnostic Services and direct supervision of the Adult Echocardiography Lab Supervisor, performs echocardiographic ultrasound studies on varied patient groups, interprets acquired data, and develops preliminary reports according to departmental procedures and job standards.
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Experience with congenital heart disease patients and/or HCM patients Prefer adult congenital, strucPrevious experience performing adult cardiac echocardiogramsMinimum of one (1) year post-graduate experience performing adult cardiac echocardiograms IDEAL CANDIDATE Currently holds registry through ARDMS (RDCS) or CCI (RCS or ACS)Minimum of one or more years of post-graduate experience performing adult cardiac echos.
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Prefer EPIC EMR and Syngo Dynamics system experience SKILLS AND CERTIFICATIONS Current registry through ARDMS (RDCS) or CCI (RCS or ACS). AHA BLS- Basic Life SupportCompletion/graduate of an approved cardiac sonographer training programExcellent communication skillsThis position requires flexibility to orient and work at all Medical Center locations.
$165,000 - $205,000ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Preferred Skills Strong understanding of modern GPU architectures and programming frameworks like CUDA or OpenCL.Experience working with NVIDIA Data Center-class GPUs (A100, H100, etc)Experience with deep learning frameworks like TensorFlow or PyTorch is a plus.
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Bachelor's degree in Cybersecurity, Information Technology, Computer Science, Juris Doctorate, or a related field is required, Masters preferred. Grant Thornton is seeking a Cyber Privacy and Data Protection Senior Manager to join our team in Chicago, IL. Additional approved locations include: Atlanta, GA, Bellevue, WA, Boston, MA, Charlotte, NC, Dallas, TX, Houston, TX, Los Angeles, CA, New York, NY, Philadelphia, PA, San Francisco, CA and San Jose, CA.
$202,500Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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At present, clients range from ‘deep tech’ – data analytics, AI/ML, storage, cloud infrastructure, cybersecurity – to fintech, health tech and climate tech. Reporting chops using combination of Google Analytics (GA4), Excel, SEMrush, Hubspot, Google Data Studio, Pardot (Salesforce), Marketo, Tag Manager, (roughly in this order of importance.
$95,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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You’ll work with a team of engineers and cross-functional partners across product, design, data science, and user research to define a product strategy and drive execution through conception, research, implementation, and maintenance.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Job OverviewAs a Principal Signal Integrity Engineer for TE Connectivity, you will focus on the electrical design, simulation, and verification-validation testing of high-speed products in the connector and/or cable assembly, radio system industry — targeting high-speed communications and connectivity within data centers and wireless infrastructure.
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data science jobs Company: Russell Tobin in San Francisco, NM, Wyoming
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