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You will have an opportunity to work in roles such as Cloud Data Engineer, Data Modeler or Data Architect covering all aspects of Data including Data Management, Data Governance and Data Migration.
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Experience with big data technologies (Spark, Clickhouse, Redshift, Snowflake etc.) Define data engineering standards and best practices and drive operational excellence. Proven success in communication with database users, software engineers and senior management to collect requirements, discuss data modeling decisions and define data engineering strategies.
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Develop new custom QuickBase applications to meet the various business needs, focusing on data capture applications with the understanding that the data will be governed and will need to eventually be consumed by a CBH reporting database layer and/or CBH Data Warehouse environment.
$80,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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A mustExperience with Web Scraping frameworks (Scrappy or Beautiful Soup or similar)Extensive experience working with Data APIs (Working with RESTful endpoints and/or SOAP)Knowledge of any commercial distribution like Horton Works, Cloudera, MapR, DataBricks etc.
$158,000Full-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Work as platform admin on Snowflake or Databricks on AWS i.e., Configuration, Data migration and security. Platform Engineer/Architecture for Data Platforms either Cloud-based or On-Prem (Databricks, Snowflake, Superset, etc.
Full-timeExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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Experience with data modeling, data warehousing, and ETL pipeline development. Partner with data scientists and machine learning engineers to evolve, optimize, and integrate critical predictive models.
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Strong data engineering background with experience in Airflow/Dagster/Argo, DBT, Docker, Kubernetes, and Spark/Databricks/EMR. Create data pipelines and integrate tools like Airflow, DBT, Docker, and Kubernetes.
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Scopely is looking for a Data Scientist, Product to join the WWE Champions team working remotely in the US, Canada, or Mexico. You'll join the Product Performance team on WWE Champions which works to understand player behavior, assess the performance of our existing features and events, and provides data products for the broader product team to optimize the player experience.
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Perform exploratory data analysis and predictive modeling in pediatric biomedical research using machine learning, statistical, and mathematical analysis incorporating heterogeneous and complex data types under direct supervision.
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Hands on experience with cloud services for data storage and processing, including but not limited to Databricks, Azure SQL Database, Google Cloud Spanner and BigQuery. The Maternal, Newborn, Child, and Adolescent Health (MNCAH) portfolio of the Health and HIV Unit, Data and Analytics Section of UNICEF New York Headquarters has been providing data analytics support to country offices and regional offices.
RemoteExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Process TBs of data delivering actionable insights and intelligence using technologies such as Spark, Airflow, Google Pubsub, Pulsar, BigQuery, DBT. You have dealt with large amounts of data in production and have built distributed data processing using frameworks like Spark, Hadoop, Apache Beam, or Flink.
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The QuickBase Applications Developer ensures successful implementation of QuickBase software technology within CBH for data capture, workflow management, and other internal CBH and external CBH partner applications.
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The Programs and Partnerships Data Coordinator will be responsible for guiding the data collection and supporting the analysis and evaluation for the Policy & Programs and Racial Equity divisions at CEO, which includes the SERVE, Work Ready, Same Day Work and Pay, Policy, Economic Mobility, and Engagement Partnerships teams.
$60,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Experience architecting scalable process solutions prepared with big data, data driven Machine Learning tools such as TensorFlow, scikit-learn, Pandas, and NumPy, Natural Language Processing, and implementing data models and developing data sources to support organizational solutions.
Full-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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Strong proficiency in creating compelling data stories using data visualization tools such as Looker, Amplitude, Tableau, Sigma, Domo, or PowerBI. Experience working with various data technologies and tools such as Airflow, Snowflake, Meltano, Fivetran, DBT, and AWS preferred.
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data job in Philadelphia, DC, Maine
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