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Demonstrate production experience in core data platforms such as Snowflake, Databricks, AWS, Azure, GCP, Hadoop, and more. Possess hands-on knowledge of Cloud and Distributed Data Storage, including expertise in HDFS, S3, ADLS, GCS, Kudu, ElasticSearch/Solr, Cassandra, or other NoSQL storage systems.
$200,875 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Expertise in some of the following leading data and analytics technology stacks, such as Azure (ADF, Functions, Event Hub/Grid, Streaming, Synapse), AWS (Kinesis, Firehouse, Glue) Snowflake, DBT, Databricks, Informatica, DBT, Denodo.
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Possess an understanding of the mechanical, electrical, and fire life safety systems used in a data center environment including, but not limited to the following: electrical distribution and layout, Transformers, PLC’s, Generators, Switchgear, UPS systems, STS’, ATS’ PDU’s, Chilled Water Systems, CRAC/CRAH’s, Pre-Action Sprinkler Systems.
$49.6 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience developing with data SaaS and BI tooling (Fivetran, Looker, dbt, Databricks, Apache Airflow, etc.) This includes new features and architectural improvements for our data pipeline and analytics tools, such as Looker, dbt, Databricks, Fivetran, Airbyte, and AWS Redshift.
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2+ years of experience with Databricks, Delta tables, unity catalog, Delta Sharing, Delta live tables(DLT) and incremental data processing. Verana Health, a digital health company that delivers quality drug lifecycle and medical practice insights from an exclusive real-world data network, recently secured a $150 million Series E led by Johnson & Johnson Innovation - JJDC, Inc. (JJDC) and Novo Growth, the growth-stage investment arm of Novo Holdings.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience with cloud platforms (AWS, Azure, GCP) and data warehousing solutions (e.g., Snowflake, BigQuery). We are seeking an experienced Data Architect to lead the design, development, and implementation of our data architecture, with a strong emphasis on data engineering pipelines, data lineage, data governance, and banking risk or regulatory reporting.
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IRC Seattle will implement a major Migrant and Asylum Seeker Support project in WA. As part of this project’s team, the Data Specialist will primarily monitor and coordinate data collection.
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As our first Data Scientist, you will leverage data to drive insights and strategies that will propel Hang's platform to new heights. Data Strategy: Contribute to the development of data collection strategies to optimize statistical efficiency and data quality.
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Implement Ingestion of new batch and streaming data pipelines using Scala, Databricks, and Airflow. Hands-on production experience with data pipeline orchestration systems such as Airflow for creating and maintaining data pipelines.
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Collaborate with data insights and population health team, and other Contexture teams, to advise on best practices for utilizing clinical workflow knowledge and data standards as it relates to HIE data quality and delivery.
$9,583 a monthFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with Data Ops (VPCs, cluster management, permissions, Databricks configurations, Terraform) in Cloud Computing environments (e.g., AWS, Azure, GCP) and associated cloud data platforms, cloud data warehouse technologies (Snowflake/Redshift), and Advanced Analytical platforms (e.g., Dataiku and Databricks.
$218,700 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Digital Core Tech@Lilly is actively looking for an Artificial Intelligence Data Engineer to build and fuel AI models and solutions that improve performance and reliability of processes and systems in pharma.
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Experiences in healthcare datasets (e.g., Komodo, IQVIA, Symphony, Truven, Optum, Flatiron, Charge Master, Lab, Provider and Payer data) Experiences in data visualization tools (e.g., Tableau, PowerBI, Qlik Sense.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Conduct data extraction, cleaning, and analysis using Python, R, SQL, and SAS to prepare datasets for modeling. Involvement in AI projects for federal clients, experience with financial compliance tools (e.g., Anti-Money Laundering), and experience in data strategy roles.
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Familiarity with connecting and extracting data from various ERP applications, including Oracle EBS, SAP ECC/S4, Deltek Costpoint, and more. 2 years of experience with Data Pipeline development or ETL tools such as Palantir Foundry, Azure Data Factory, SSIS, or Python.
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