Full-Time
Updated on 2/20/2025
Data integration platform with extensive connectors
$119k - $150kAnnually
Junior, Mid
H1B Sponsorship Available
San Francisco, CA, USA
Onsite Tuesday through Thursday; relocation assistance available for candidates applying to a San Francisco based role.
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Airbyte provides a data integration platform that helps businesses efficiently move and replicate data through a wide range of connectors. Users can quickly build or modify data connectors, which significantly reduces the time and resources needed to manage data pipelines. This allows companies to focus on delivering value rather than maintaining complex data infrastructure. Airbyte operates on a freemium model, offering a free version called Airbyte Cloud, along with paid support and enterprise features, making it accessible for businesses of all sizes. The platform can be used in both self-hosted and cloud-hosted formats, providing flexibility to meet various business requirements. Additionally, Airbyte engages with its community through a newsletter that shares updates and insights about the data management industry.
Company Size
51-200
Company Stage
Series B
Total Funding
$176.3M
Headquarters
San Francisco, California
Founded
2020
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Fully remote flexible work environment
Unlimited PTO
Co-working space
Parental leave
Sponsored travel
Open book policy
Continuous learning/training policy
Medical, dental, & vision coverage
Healthcare insurance stipend
Mental health support
401k
FSA
Work Visas
Airbyte announced enhanced support for Delta Lake on the Databricks Data Intelligence Platform, making it easier than ever for users to replicate data from any source into their lakehouse.
Open source data mover Airbyte announced the launch of its Snowflake Cortex connector for Snowflake users who are interested in building generative AI (GenAI) capabilities directly within their existing Snowflake accounts.
SANTA CLARA, Calif.--(BUSINESS WIRE)--DataStax, the Gen AI data company, today announced a new integration with Airbyte that simplifies the process of building production-ready GenAI applications with structured and unstructured data. Now, developers can use Airbyte Cloud to easily ingest and vectorize data from hundreds of sources directly into Astra DB, the best vector database for building production-level AI applications. With the new DataStax integration, developers are able to ingest data from those sources, vectorize the data with the embedding model of their choice, and ingest and index the data and vectors into Astra DB. This dramatically simplifies and speeds up the process of building RAG (retrieval augmented generation) applications, and freeing up developers to focus on building amazing AI experiences for their end users. Developers can also use the AirByte integration with RAGStack, an out of the box solution that includes the best open-source for implementing RAG, giving enterprise developers a supported, one-stop GenAI Stack leveraging LangChain, LLamaIndex, and more
SAN FRANCISCO--(BUSINESS WIRE)--Airbyte, creators of the leading open-source data movement infrastructure, today announced availability of PyAirbyte, an open-source Python library, that makes it easy to move data across API sources and destinations by enabling Airbyte resources to be created and managed using code, rather than the user interface (UI). Python users gain access to Airbyte’s more than 250 data connectors – rather than having to build and maintain those themselves. Airbyte is the first to provide Python users this capability with availability of over 250 connectors.“A majority of existing data pipelines are written in Python today,” said Michel Tricot, co-founder and CEO, Airbyte. “We’ve seen growing demand for this capability, which provides a natural fit into the coding workflow and only requires running one command.”Python is a popular programming language for data engineers because of its simplicity, versatility, scalability, and the wide range of libraries and frameworks for data manipulation, exploration, and visualization. Python easily integrates with other tools commonly used in data analysis and data science, such as SQL databases, Hadoop, and Spark.PyAirbyte is an addition to the Airbyte API and Terraform Provider, which enable Airbyte resources to be managed programmatically – streamlining workflows and integrating Airbyte configurations with existing data infrastructure. Other deployment models include Airbyte Open Source, Airbyte Self-Managed, Airbyte Cloud, and Powered by Airbyte.Key features and benefits of PyAirbyte include the following.Programmatically manage data movement : Airbyte resources can now be created and managed through code, providing a more efficient and scalable approach for managing data pipelines.: Airbyte resources can now be created and managed through code, providing a more efficient and scalable approach for managing data pipelines
Airbyte launches first Python library for data movement, providing access to hundreds of data connectors.