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Airbyte Jobs (NOW HIRING)

Senior Platform Engineer

Palo Alto, CA · Hybrid

$225K - $300K/yr

Experience with DataHub or similar metadata/ETL frameworks (Airflow, Airbyte, dbt) * Open-source contributions * Early-stage startup experience Location and Compensation Bay Area (hybrid, 3 days in ...

... Airbyte, or similar) • Experience with workflow automation platforms (n8n, Zapier, Temporal, or similar) Company : Welcome to SOCOTEC in the US -- Trusted Expertise, From the Ground Up. Founded in ...

We've assembled authentication, integrations, distributed systems, and AI experts from Okta, Redis, Microsoft, Splunk, Ngrok, Google, Airbyte, and HPE who've built and scaled multiple successful ...

Experience with DataHub or similar metadata/ETL frameworks (Airflow, Airbyte, dbt) * Open-source contributions * Experience building and maintaining services that make calls to LLMs in order to serve ...

... Airbyte, dbt). • Experience in regulated environments (SOC 2, FedRAMP, ITAR). • Familiarity with BI/analytics tools (Looker, Tableau, Power BI, Databricks dashboards). Company : Radiant develops ...

AWS Lead Engineer

Plano, TX · On-site

$98K - $129K/yr

Having used ECS and EKS, in the past projects. • Sound experience in AWS Lake formations, AWS Glue or ELT and ETL tools and frameworks like DBT, Airbyte • Strong notions of security best ...

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

Experience with ELT/ETL tools (Fivetran, Airbyte, or custom frameworks). * Proficiency with dbt for transformations and testing. * Experience with workflow orchestration tools ( Airflow, Cloud ...

Familiarity with data ingestion (Airbyte, Fivetran) or orchestration tools * Experience using LLM tools such as Claude Code, Cursor, or OpenAI Codex * Strong cross-functional communication skills and ...

Postgres/SQL, Snowflake, Python, AWS, Terraform, Argo, Airflow, Spark, DuckDB, Iceberg, Airbyte, DBT, ElasticSearch (aka OpenSearch), OpenTelemetry, Looker This is a unique opportunity to join a fast ...

... Airbyte, dbt). • Experience in regulated environments (SOC 2, FedRAMP, ITAR). • Familiarity with BI/analytics tools (Looker, Tableau, Power BI, Databricks dashboards). Company : Radiant develops ...

Senior Data Engineer

New York, NY · On-site

$220K - $245K/yr

Postgres/SQL, Snowflake, Python, AWS, Terraform, Argo, Airflow, Spark, DuckDB, Iceberg, Airbyte, DBT, ElasticSearch (aka OpenSearch), OpenTelemetry, Looker This is a unique opportunity to join a fast ...

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

... Airbyte, or custom pipeline frameworks. • Proficiency with dbt (data build tool) for data transformation and testing. • Experience with workflow orchestration tools such as Apache Airflow, Cloud ...

... Airbyte, dbt). • Experience in regulated environments (SOC 2, FedRAMP, ITAR). • Familiarity with BI/analytics tools (Looker, Tableau, Power BI, Databricks dashboards). Company : Radiant develops ...

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Airbyte information

What is an Airbyte job?

An Airbyte job typically involves working with Airbyte, an open-source data integration platform used to automate data movement between systems. Roles may include data engineers, developers, or analysts responsible for configuring, maintaining, and optimizing data connectors and pipelines. These jobs often require knowledge of ETL (Extract, Transform, Load) processes, SQL, APIs, and cloud services. Professionals in this field ensure seamless data synchronization across databases, warehouses, and applications.

What are the typical responsibilities of a data engineer working with Airbyte?

A data engineer working with Airbyte is responsible for designing, implementing, and maintaining data integrations between diverse sources and destinations using the Airbyte platform. Their day typically includes configuring connectors, troubleshooting sync issues, optimizing data flows, and coordinating with business analysts or engineers to understand data requirements. The role often involves ensuring data accuracy, monitoring pipeline performance, and contributing to automation and scalability improvements. Since Airbyte is open-source and rapidly evolving, data engineers in this role frequently collaborate with other team members to stay updated on new features and resolve integration challenges efficiently.

What are the key skills and qualifications needed to thrive in the Airbyte position, and why are they important?

To thrive in a role focused on Airbyte, you need strong data engineering skills, proficiency in ETL (extract, transform, load) processes, and familiarity with cloud data platforms, commonly backed by a degree in computer science or related field. Experience with the Airbyte open-source data integration platform, REST APIs, SQL, and relevant certifications such as Google Cloud Professional Data Engineer are valuable assets. Analytical thinking, problem-solving abilities, and clear communication skills help in troubleshooting data issues and collaborating with cross-functional teams. These competencies are essential to ensure efficient data pipeline creation, seamless data integration, and optimal team performance.

More about Airbyte jobs
What are the most commonly searched types of Airbyte jobs? The most popular types of Airbyte jobs are:
What states have the most Airbyte jobs? States with the most job openings for Airbyte jobs include:
Infographic showing various Airbyte job openings in the United States as of June 2026, with employment types broken down into 97% Full Time, 1% Temporary, and 2% Contract. Highlights an 73% Physical, 1% Hybrid, and 26% Remote job distribution.

Senior Platform Engineer

DataHub

Palo Alto, CA • Hybrid

$225K - $300K/yr

Other

Posted 17 days ago


Job description

The Challenge

As AI and data products become business-critical, enterprises face a metadata crisis:

  • No unified way to track the complex data supply chain feeding AI systems
  • Engineering teams struggling with data discovery, lineage, and governance
  • Organizations needing machine-scale metadata management, not just human-browsable catalogs
Why This Matters

This is where infrastructure meets impact. The metadata layer you'll build will directly power the next generation of AI systems at massive scale. Your code will determine how safely and effectively thousands of organizations deploy AI, affecting millions of users worldwide.

The Role

We're looking for an exceptional Python engineer to lead development of DataHub's ingestion framework - the core that connects diverse data systems and powers our metadata collection capabilities.

You'll Build
  • Scalable, fault-tolerant ingestion systems for enterprise-scale metadata
  • Clean, intuitive APIs for our connector ecosystem
  • Event-driven architectures for real-time metadata processing
  • Schema mapping between diverse systems and DataHub's unified model
  • Versioning systems for AI assets (training data, model weights, embeddings)
You Have
  • 4+ years building production-grade distributed systems
  • Advanced Python expertise with a focus on API design
  • Experience with high-scale data processing or integration frameworks
  • Strong systems knowledge and distributed architecture experience
  • A track record of solving complex technical challenges
Bonus Points
  • Experience with DataHub or similar metadata/ETL frameworks (Airflow, Airbyte, dbt)
  • Open-source contributions
  • Early-stage startup experience
Location and Compensation

Bay Area (hybrid, 3 days in Palo Alto office)

Salary Range: $225,000 to $300,000
DataHub is an equal opportunity employer committed to workplace diversity and inclusion. We provide equal employment opportunities to all employees and applicants without regard to race, religious creed, color, national origin, ancestry, disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, military and veteran status, or any other characteristic protected by federal, state, or local law.