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Top Remote Artificial Intelligence Data Engineering Jobs in San Francisco, CA
Artificial Intelligence • Big Data • Cloud • Information Technology • Machine Learning
Design and build scalable data pipelines and integrations on Google Cloud, focusing on healthcare data standards and ensuring data quality and performance.
Top Skills:
BigQueryCloud StorageDataflowGoogle Cloud PlatformJSONPub/SubPythonRestSQL
Artificial Intelligence • Marketing Tech • Mobile • Software
The role involves designing and maintaining data models and pipelines, collaborating with teams to drive insights, and building dashboards for analytics and reporting.
Top Skills:
AirflowDbtLookerPythonRSQLTableau
Artificial Intelligence • Cloud • Information Technology • Database • Analytics • Consulting • Cybersecurity
The Senior Data Analytics Engineer analyzes and delivers business intelligence solutions, builds data pipelines, and collaborates with clients to meet their data-driven needs.
Top Skills:
Azure Data FactoryAzure DatabricksAzure SynapseFabricMicrosoft Analytics StackPythonSQL
Artificial Intelligence • Software • Cybersecurity
The role involves architecting intelligence infrastructure, building data pipelines, collaborating with other teams, and ensuring data accessibility and security for threat detection systems.
Top Skills:
AWSDockerDynamoDBFastapiGCPGithub ActionsNode.jsOpensearchPythonReactTailwind CssTerraformTypescript
Artificial Intelligence • Machine Learning • Software • Analytics
The Senior Data Engineer will design and build scalable data platforms, handle automation for data operations, and ensure reliability and performance of data pipelines while collaborating with various teams.
Top Skills:
AirflowSparkAws EmrAws LambdaAws S3KafkaKinesisPythonScalaSQL
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Artificial Intelligence • Machine Learning • Retail • Social Impact • Software
As a Senior Data Engineer, you will design ETLs for large customer datasets, improve integration tools, and mentor other engineers, impacting customer onboarding and data accuracy.
Top Skills:
DatabricksDbtPysparkPythonSnowflakeSQL
Artificial Intelligence • Big Data • Cloud • Machine Learning • Software • Database • Analytics
The Solution Engineer - Data Engineering Specialist will provide technical leadership in the financial services sector, collaborating with sales teams to demonstrate Snowflake's data platform capabilities while engaging with technical and executive stakeholders.
Top Skills:
Apache NifiDeltaFivetranFlinkHadoopHiveIcebergInformaticaKafkaKinesisMatillionPandasParquetPysparkPythonQlikSparkSpark StreamingSQL
Artificial Intelligence • Computer Vision • Machine Learning • Software
The Staff Product Analytics Engineer will enhance product data usage across teams by owning data infrastructure, creating tools for self-service data, and ensuring data-driven decisions. Responsibilities include collaborating with various teams to improve data insights and maintain data pipelines.
Top Skills:
Data ModelingETLPythonSQL
Artificial Intelligence • Information Technology • Software • Business Intelligence
The Databricks Architect leads data engineering solutions, designing scalable Databricks platforms and managing cloud implementations. They work with clients, ensuring technical alignment and project execution.
Top Skills:
AWSAzureDatabricksDelta LakeDelta Live TablesGitGithub ActionsMlflowPysparkSparkSpark SqlTerraformUnity Catalog
Artificial Intelligence • Information Technology • Professional Services • Consulting
Design and develop ETL/ELT pipelines using Snowflake and Coalesce.io, ensuring data quality and collaboration with stakeholders.
Top Skills:
AWSAzureCoalesce.IoGCPGitSnowflakeSQL
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