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Airbyte Jobs (NOW HIRING)

FieldAI

Data Platform Engineer, Autonomy Analytics

Irvine, CA · On-site

$122K - $147K/yr

Experience building integrations across systems: third-party APIs, internal services, and CDC/ELT tooling (Fivetran, Airbyte, Debezium, or custom connectors) . * Experience building for data quality ...

Span

Platform Engineer

$125K - $250K/yr

Postgres, Redis, Kafka, Airbyte, Dagster * Cloud & Platform: AWS, Kubernetes, FluxCD

1 point system

Senior Data Engineer

Normal, IL · On-site

$103K - $140K/yr

Experience with managed ingestion tools such as Fivetran, Airbyte, or similar. * Experience designing and operating production-grade data pipelines with monitoring and observability. * Strong ...

Fora

Senior Analytics Engineer

New York, NY

$130 - $185K/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Garner Health

Data Engineer III

New York, NY

$166K - $205K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Garner Health

Senior Data Engineer

New York, NY · On-site

$220K - $245K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

Radiant

Director, Enterprise Data

El Segundo, CA · On-site

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

Stellar IT Group

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 ...

RevSpring

Senior Data Engineer - Analytics

Columbus, OH · On-site

$102K - $139K/yr

... S3, Airbyte, Confluent. • Experience creating and maintaining analytic semantic layers and business intelligence dashboard such as Looker, PowerBI, Tableau, etc. • Proficiency in leveraging AI ...

Socotec

Senior Software Engineer

Manhattan, NY · On-site +1

Experience with modern data infrastructure (Databricks, Snowflake, Airbyte, or similar) * Experience with workflow automation platforms (n8n, Zapier, Temporal, or similar) Nice to Have * Experience ...

Engine

Director, Data Engineering

Deep architectural knowledge of the modern data stack (Snowflake, Airflow, dbt, Airbyte). Experience leading large-scale cloud migrations and designing systems that support both BI and Machine ...

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Airbyte information

What is an Airbyte?

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.

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States with the most job openings for Airbyte jobs include:

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Airbyte jobs near you
Infographic showing various Airbyte job openings in the United States as of August 2026, with employment types broken down into 95% Full Time, 1% Temporary, and 4% Contract. Highlights an 75% Physical, 1% Hybrid, and 24% Remote job distribution.

Data Platform Engineer, Autonomy Analytics

FieldAI

Irvine, CA • On-site

$122K - $147K/yr

Full-time

Re-posted 7 days ago

Job description

What You'll Get To Do
  • Design and build the data platform, frameworks, and developer tooling that power ingestion across Field AI.
  • Handle the realities of field data: intermittent connectivity, large sensor payloads (LiDAR, camera, IMU), edge-to-cloud synchronization, and backfill from offline deployments.
  • Develop reusable ingestion SDKs, APIs, and services that enable teams to onboard new robotics data sources with minimal custom code.
  • Build and maintain integrations across heterogeneous sources: robot/edge systems, fleet management and deployment tooling, simulation outputs, and cloud object storage.
  • Integrate the platform with downstream consumers: BI tools, ML training and evaluation pipelines, labeling systems, and issue tracking.
  • Develop connectors and APIs (REST/gRPC, webhooks, CDC) so internal teams can feed data in and consume curated datasets reliably.
  • Own integration reliability end to end: schema contracts, versioning, retries, backfills, and monitoring.
  • Optimize pipeline performance, scalability, and cost across growing fleet deployments.

What You Have
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
  • 3-5+ years of experience in data engineering or backend engineering focused on pipelines and infrastructure.
  • Strong programming skills in Python and SQL (C++, Scala, or Java a plus).
  • Production experience with streaming systems (Kafka, Kinesis, Pub/Sub) and orchestration tools such as Airflow or Dagster.
  • Experience with a modern warehouse or lakehouse (BigQuery, Snowflake, Databricks, Redshift) and cloud object storage at scale.
  • Experience building integrations across systems: third-party APIs, internal services, and CDC/ELT tooling (Fivetran, Airbyte, Debezium, or custom connectors).
  • Experience building for data quality: testing, monitoring, lineage, and incident response.
  • Strong problem-solving skills and ability to work in interdisciplinary teams.

The Extras That Set You Apart
  • Experience with robotics, autonomy, automotive, or other telemetry-heavy operational data (bag files, fleet logs, time-series sensor data).
  • Familiarity with robotics middleware and log formats such as ROS/ROS2, MCAP, or rosbag.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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