Full-Time

Senior Software Engineer

Database Sources

Posted on 8/19/2025

Airbyte

Airbyte

51-200 employees

Data integration platform with connectors catalog

Compensation Overview

$190k - $235k/yr

San Francisco, CA, USA

Hybrid

Category
Software Engineering (3)
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Requirements
  • 6+ years of software engineering experience building production systems that handle enterprise workloads
  • Deep database curiosity - you want to master PostgreSQL, MySQL, Oracle, and other systems at an architectural level and find clever solutions to difficult problems
  • Performance optimization expertise - you've optimized high-performance applications and understand moving terabytes efficiently
  • An insatiable desire to ship - you're driven by seeing your code power real-world data infrastructure at massive scale
  • DevEx obsession - constantly improving your development setup to eliminate redundant tasks
  • AI-first mindset - you’re already using AI tools and see LLMs' potential to revolutionize software development
  • Nice to Have: JVM expertise - 2+ years of experience with Java, Kotlin, or Scala (we use Kotlin for our backend systems)
  • Open-source contributions - active participation in database or data engineering projects
  • Enterprise database experience - hands-on work with Oracle, SQL Server, or other mission-critical database systems
Responsibilities
  • Build core technologies managing Airbyte's fleet of high-volume database connectors powering thousands of enterprise customers
  • Architect a framework that makes connector development 10x faster while driving innovation across the data engineering industry
  • Write high-leverage code that directly enables Airbyte's rapid growth and market leadership in database connectivity
  • Mentor brilliant engineers while collaborating with our 800+ contributor community - the largest open-source data engineering ecosystem
Desired Qualifications
  • JVM expertise - 2+ years of experience with Java, Kotlin, or Scala (we use Kotlin for our backend systems)
  • Open-source contributions - active participation in database or data engineering projects
  • Enterprise database experience - hands-on work with Oracle, SQL Server, or other mission-critical database systems

Airbyte provides a data integration platform with a large catalog of connectors that lets users move and replicate data across systems. It offers self-hosted or cloud-hosted deployments and a freemium model, with paid enterprise features and support. Its primary product is the extensive connectors catalog that users can build or edit in minutes, saving time on data infrastructure. What sets Airbyte apart is its focus on stability, reliability, and ease of use, along with the flexibility of self-hosted and cloud options and a broad ecosystem of connectors. The goal is to help businesses manage data pipelines efficiently, enabling teams to spend more time creating value for users rather than maintaining data infrastructure.

Company Size

51-200

Company Stage

Series B

Total Funding

$181.3M

Headquarters

San Francisco, California

Founded

2020

Simplify Jobs

Simplify's Take

What believers are saying

  • Airbyte scales to billions of records daily, adopted by Rakuten and 1Password.
  • DataStax partnership accelerates RAG apps by vectorizing data into Astra DB.
  • 75% of customers report increased profitability and 6.7% EBITDA growth.

What critics are saying

  • Fivetran's real-time CDC erodes Airbyte's cost advantage by mid-2027.
  • Databricks Delta Lake enhancements displace Airbyte by Q2 2027.
  • Connector maintenance gaps for NetSuite and SAP fail enterprises by Q1 2027.

What makes Airbyte unique

  • Airbyte offers 600+ open-source connectors, growing from 6 since 2020.
  • Airbyte Agents provide Context Store indexing data from Salesforce, Zendesk, and Jira for AI.
  • PyAirbyte Python library enables programmatic access to 250+ connectors with one command.

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Benefits

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

Growth & Insights and Company News

Headcount

6 month growth

3%

1 year growth

8%

2 year growth

6%
Georgia Digital News
Mar 20th, 2025
Airbyte launches new connectors to help companies better leverage their data

Airbyte is also launching a connector bundle for enterprise customers that includes data connector pipelines for applications such as NetSuite, SAP, ServiceNow, and Workday.

RTInsights
Oct 27th, 2024
Real-time Analytics News for the Week Ending October 26

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.

TechDay
Sep 25th, 2024
Airbyte launches tools to boost analytics, AI integration

Airbyte has announced the release of multiple new technologies to enhance data accessibility for analytics and generative artificial intelligence (GenAI).

Blocks and Files
Jun 7th, 2024
Storage news ticker - June 7

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.

Business Wire
Mar 7th, 2024
Datastax And Airbyte Partner, Enable Developers To Ingest And Vectorize Data From The Largest Catalog Of Data Sources To Build Genai Applications

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

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