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4+ years of professional experience as a data scientist in the SaaS industryWorking knowledge of Unix command-line/shell and gitExperience deploying models in a production environment, ideally with Databricks.
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3 or more years of relevant technical experience in AWS + Big Data (Cloudera) technologiesDesign, develop, and maintain end to end data solutions using open source, modern data lake, and enterprise data warehouse technologies (Hadoop, Spark, AWS Cloud, etc.
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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Internal knowledge of open source or related big data technologies. What you’ll bring to Circle:For Senior Data Engineer (III) 4+ years of professional data engineering experience.
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Enterprise Applications, Mobility / Collaboration, Big Data / Business Intelligence, Staffing Services, Cloud Solutions, Quality Assurance, Web Solutions, Digital Transformation, Product Engineering, talent solutions, Technology Solutions, Digital Product Engineering, Digital Enterprise, Snowflake, Oracle NetSuite, Apigee, Digital Integration, Data Management & Analytics, Digital Assurance, Extended Engineering Services , AI/ML, Business Process Automation, and TIBCO.
$52 - $77 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Collaborate with a team of supportive and passionate software engineers, product, infrastructure and other internal partners to tackle challenging problems, execute on development projects that build, enhance and customize our high-performance data ingest, partitioning, graph and edge building systems.
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Apply mathematical (geometry, linear algebra, numerical methods, error analysis) and machine learning methods to prototype and develop algorithms for converting raw depth sensor data into point clouds, 2D and 3D tracking like SLAM, 3D point cloud reconstruction, registration, and classification as well as texture projection and completion.
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Specific knowledge of platforms and technologies including SaaS (such as Salesforce.com, ServiceNow), Cloud Hosting (Azure, AWS), ERP Platforms (such as Oracle), Integration and integration frameworks, Business Intelligence & Analytics, Big Data, Reporting and Visualization, Document & Contract Lifecycle Management, Energy Systems and Energy Operations, Construction and Project Management Platforms, RPA, Gen AI, etc.
$137,000 - $186,000ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Yard Stick is a remote-first company and the technology team is distributed around the U.S. This role will report directly to Yard Stick’s VP of Software, and will work under the technical leadership of the Head of Data Science.
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Sr. Data Engineer. We value passionate, down to earth, "can do" people who enjoy fine-tuning small details, without losing sight of the big picture. Own data engineering infrastructure to drive and enable statistical, optimization, AI/ML models and usage.
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Experience leveraging big data technologies (Hive/Hadoop) and modern data visualization tools (Tableau, ThoughtSpot, Looker) to blend data from multiple sources to help answer multi-dimensional business questions.
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Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, Performance Tuning, SQL Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate’s qualifications, experience, skills, and geography.
$100,000 - $155,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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CI/CD orchestration (Jenkins, CircleCI, or TravisCI)ETL, data modeling, cloud-based data storage, processingGCP Data Services (Dataflow, BigQuery, Dataproc)Workflow and data pipeline orchestration (Airflow, Oozie, Jenkins, etc)Container orchestration technologies (Kubernetes, OpenStack, Docker swarm, etc)Open source software involvementMonitoring/Logging with technologies like Splunk, ElasticSearch, Logstash/Fluentd, Stackdriver, Time-series databases like InfluxDB etc.
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We are seeking a dynamic and experienced Principal Engineer, Data Streamingto lead across data domains and teams, driving strategic outcomes for our organization. Lead initiatives with other cross-functional Principal engineering staff that are supporters and consumers of your data systems.
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The Cyber Security Specialist (Data Security) continuously identifies, tracks, shares, and supports operational IT security requirements across the Ninth Circuit, with an emphasis on data security and analysis.
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Familiarity with machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch) for analyzing Earth observation data in the context of carbon monitoring and climate analysis is advantageous.
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big data jobs Title: staff software engineer in San Francisco, CA
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