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Ocean Career: Ocean Associates Inc. National Bathymetry Data Engineer ECO Posted On October 24, 2023. The NBS is a “one-stop” database of curated, regularly maintained hydrographic data collected by NOAA and other Federal providers.
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Hands-on experience and proficiency with data stacks including Airflow, Databricks, and dbt, as well as data stores such as Cassandra, Aurora, and ZooKeeper. Proficiency and hands-on knowledge in a variety of technologies such as SQL, Bash, Python, Java, Presto, Spark, AWS, data streaming like Kafka, RabbitMQ.
$250,000 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago - UpvoteDownvoteShare Job
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8+ years of data engineering experience focused on Snowflake, Databricks, Kafka, AWS Glue, Airflow, and AWS services. Design and build data pipelines: Design, develop, and implement data pipelines using Kafka, Airflow, AWS Glue, Python, and Lambda functions to ingest, transform, and load data into Snowflake.
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Partnership: Partner with various Data Leaders and other functional area colleagues, including, but not limited to: VP Analytics, VP Strategy, and Director of Analytics. Project management methodologies: MUST HAVE knowledge of project management methodologies like Agile or Scrum, as well as experience/understanding of data governance, data privacy, and data security.
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8- 12 years required in the data engineering & data management with a strong focus on data platforms like Databricks, Snowflake or Palantir Foundry. Guide the construction of the ontology, ensuring it meets the complex needs of aerospace manufacturing data.
$103.88 an hourFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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The IS Data Engineer ensures compliance with data governance and data security requirements while enabling faster data access, integrated data reuse and acceleration of time-to-solution for CareOregon's data and analytics initiatives.
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About The Role The Data Capture team for the Data organization within the DE&ET organization is in search of a Lead Software Engineer. Expanding, scaling, and standardizing the core foundational principles through consistent observability, lineage, data quality, logging, and alerting across all engineering teams in the Data organization is imperative to the creation of a single pane of glass.
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Workforce Development Council of Seattle - King County is seeking a Data Engineer to contribute to the mission of system transformation and racial equity in workforce development by supporting our data integration, transformation, and visualization efforts.
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The Senior Data Engineer will contribute to the Company's success by partnering with business, analytics, and infrastructure teams to design and build data pipelines to facilitate measuring subscriber movements and metrics.
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Experience with cloud and modern data science tools and platforms such as Databricks MLFlow, GCP BigQuery, AWS SageMaker, Kubeflow, and Azure ML. Experience using data visualization tools such as Tableau, Qlik, or Power BI.
$186,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Our expertise spans the entire customer journey, offering deep insights in communications, commerce, consultancy, CRM, CX, data, production, and technology. Provide a more holistic view of the project, using data to identify dependencies and interrelationships between different components and stakeholders, and to manage resources and timelines accordingly.
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At Relativity Space, we have two audacious goals: to build the next great commercial launch company with Terran R and to become America's leading force in additive manufacturing innovation.
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This is a general track for applications to any team at Canonical that works with web-centric tech (JS, TypeScript, React, CSS, Flutter), across all seniority levels.
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As a senior data engineer, you bring your previous industry experience in infrastructure scaling to Jerry and lead the development of a new infrastructure solution that will continue to perform with great stability and efficiency even when the company grows 10x bigger.
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Develop, deploy and maintain data processing pipelines using cloud technology such as AWS, Kubernetes, Airflow, Redshift, Databricks, EMR. Experience with data warehouse platforms such as Redshift, Databricks, Big Query, Snowflake.
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Title: data engineer Company: Massachusetts Health Connector in Seattle, WA
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