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As a Principal Data Engineer, you will work within the Informatics team and contribute to Tendo's strategic data engineering solutions by ingesting, transforming, and warehousing healthcare-related data from various sources.
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Knowledge of, or experience with, healthcare data standards such as HL7, FHIR, ICD, SNOMED, LOINC. Comfortable working with unstructured and semi-structured data (Web scraping). Extensive knowledge of coding in Python or Scala with a focus on data processing.
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Position Role/Tile: Bioinformatics Data Scientist / Engineer / QA. This is a dynamic career opportunity to join as a Bioinformatics, Data Scientist Team member to support our qPCR Algorithm Development Group.
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As our Founding Data Engineer at Everyday Agents, you will be central in establishing and managing the data that powers our AI-driven travel concierge application to support personalizing travel experiences.
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Working with at least one cloud based data warehousing platforms – Snowflake, AWS Redshift, Azure DW, Oracle Cloud, Google Big Query, or anything similar. The Data Operations Manager will also work closely with Engineering, Analytics and Product Management teams, in providing actionable insights and support for strategic initiatives along with building powerful tools for taxonomy administration.
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Substantial Experience in software development life cycle (SDLC) and data pipelines and job monitoring management/tools (AWS Glue, Airflow, Terraform, Kubernetes, CI/CD, PII/PHI protection and data masking, etc.
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Udemy is looking for a data scientist to join a team largely focused on exploring and building novel applications of generative AI to improve the teaching and learning experience. Serve as a deep learning domain expert, identify opportunities for the data science roadmap, and influence roadmap prioritization.
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8+ years as a data engineer or software engineer, with a focus on large-scale data processing and analytics. You've spent 4+ years as a data engineer building core datasets.
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Assist the team that will document, maintain, and tune AML transaction monitoring rules, sanctions screening systems, and risk scoring models as well as detailing data lineage and model/rule assumptions and parameters for all models.
ExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Software Engineer (Data Production + Access) Software Engineer (Data Production +Access) Collaborate across teams to deeply understand users’ needs, develop and evolve requirements based on user research, set delivery timelines, and implement and deploy urban data applications at nationwide scale.
ExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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Principal Data Security Engineer page is loaded. Principal Data Security Engineer. Cloud Security: Proficiency in cloud security and experience with cloud service providers (e.g., AWS, Azure, Google Cloud, O365) and SaaS Data Security, knowledge of secure cloud architecture design, cloud data protection mechanisms, and cloud identity and access management (IAM.
$159,800 - $258,500 a yearFull-timeExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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The Community Practice Clinical Data Coordinator at Trial Library will play an integral part in expanding access to cancer clinical trials by pioneering pre-screening efforts in community oncology settings.
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As a software engineer on the Runtime team at Databricks, you will be building the next generation distributed data storage and processing systems that can outperform specialized SQL query engines in relational query performance, yet provide the expressiveness and programming abstractions to support diverse workloads ranging from ETL to data science.
$192,000 - $260,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Familiarity with databases and cloud data warehouses like Google Cloud, Amazon Redshift, Microsoft Azure, Snowflake, Databricks, etc. Experience in data querying, modeling, and transforming in at least one core tool, including SQL / dbt / Python / Business Intelligence tools / Product Analytics tools, etc.
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The Cash App Quantitative Finance Team is an intellectually diverse team of machine learning modelers, statisticians, economists, data scientists, former strategy consultants, and data engineers focused on applying graph analytics, statistics, econometrics, and machine learning algorithms to solve business problems for executives within Cash App and the broader Block organization.
Full-timeExpandApply NowActive JobUpdated 16 days ago
Title: data engineer Company: Luminarehealth in San Francisco, CA
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