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Airbyte Jobs (NOW HIRING)

... Airbyte, or similar) • Experience with workflow automation platforms (n8n, Zapier, Temporal, or similar) • Experience working on small engineering teams where individual ownership is high • ...

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 ...

Data Engineer

Miami, FL

$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 ...

ML Engineer - AI Operations

Morristown, NJ · On-site

$71K - $96K/yr

Modern ELT tools (Fivetran/Airbyte) Streaming/real-time data pipelines (e.g., Kafka, Kinesis, Redpanda) Production ML service operations experience (experience in broader full-stack environments is a ...

Senior Data Engineer

New York, NY · On-site

$116K - $157K/yr

Experience in any of the modern data stack technologies like dbt , airbyte is desired. * Experience building scalable data pipelines (Airflow experience a plus). * Significant experience working with ...

Senior Data Engineer

Jersey City, NJ · On-site

$110K - $150K/yr

Experience in any of the modern data stack technologies like dbt , airbyte is desired. * Experience building scalable data pipelines (Airflow experience a plus). * Significant experience working with ...

Senior Data Engineer

Jersey City, NJ · On-site

$116K - $157K/yr

... dbt, airbyte is desired. • Experience building scalable data pipelines (Airflow experience a plus). • Significant experience working with AWS and/or GCP. • Proven ability to independently ...

Senior Data Engineer

Jersey City, NJ · On-site

$116K - $157K/yr

... dbt, airbyte is desired. • Experience building scalable data pipelines (Airflow experience a plus). • Significant experience working with AWS and/or GCP. • Proven ability to independently ...

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 ...

Senior Analytics Engineer

New York, NY · On-site

$130 - $185K/hr

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 ...

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 ...

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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, and 3% Contract. Highlights an 75% Physical, and 25% Remote job distribution.
AI / ML Architect with strong snowflake Exp

AI / ML Architect with strong snowflake Exp

AceStack LLC

Salisbury, MD • Remote

$63 - $81/hr

Other

Posted 29 days ago


Job description

Role: AI / ML Architect with strong snowflake Exp
Salisbury, MD (Remote)
Job Description:
An experienced AI / ML Architect to lead the design, development, and deployment of advanced artificial intelligence, including machine learning and large language models. The ideal candidate will have a strong background in data science, software engineering, and cloud technologies, with a proven track record of architecting scalable and robust AI/ML systems. You will collaborate with cross-functional teams to translate business requirements into technical solutions, ensuring best practices in model development, deployment, monitoring, security, and governance.
Responsibilities:
  • Design end-to-end AI/ML architectures, including data pipelines, model training, deployment, and monitoring frameworks.
  • Ensure the perspectives of DevOps/MLOps, DevSecOps, FinOps, and Governance are addressed.
  • Leverage existing infrastructure wherever possible (Snowflake / Dataiku / Power BI / Azure).
  • Collaborate with data scientists, engineers, and business stakeholders to define project requirements and deliverables.
  • Evaluate and select appropriate AI/ML frameworks, tools, and platforms based on project needs.
  • Ensure scalability, reliability, and security of AI/ML solutions in production environments.
  • Oversee the integration of AI/ML models into existing products and services.
  • Establish and enforce best practices for model versioning, reproducibility, and governance.
  • Mentor and guide junior team members in AI/ML methodologies and architectural patterns.
  • Stay current with industry trends, emerging technologies, and research in AI/ML.
Technologies:
  • ML/DL Frameworks: TensorFlow, PyTorch, Keras, Scikit-learn, XGBoost
  • DevOps / MLOps: GitHub, GitHub Actions, CI/CD pipelines
  • DevSecOps: RBAC, SSO / SCIM, OAuth, Snowflake's security model
  • Data Visualization: Power BI, Angular
  • Monitoring & Orchestration: Dagster, Airflow, Grafana, Prometheus
  • Data Ingestion: Airbyte, Snowpipe Files & Streaming, Kafka, APIs
  • Data Processing: Dataiku, Spark, Snowflake (streams / tasks / dynamic tables ), Python, SQL
  • Compute: Snowflake Warehouses & Compute Pools, Azure VM's, Kubernetes, Docker
  • Storage: Snowflake, SQL, Iceberg Tables, Parquet, ADLS
  • Cloud Platforms: Azure

AceStack logo

About AceStack

Sourced by ZipRecruiter

AceStack is a global IT consulting & Staffing agency. We deal in Health care (Nursing, Allied, Clinical/Non-clinical) Staffing, Engineering Staffing & I.T. Staffing. Founded in 2017 in New Jersey, AceStack has reported consistent growth and profit every year and carries zero debt. AceStack consultants are placed across USA, Canada, Mexico, and Asia. In addition to our headquarters in New Jersey – USA, we also have offices in Canada, Noida, and Ahmedabad. AceStack’s exceptionally high-touch service keeps our clients satisfied and our Consultants/Travelers engaged. We believe in investing in our Consultants/Clients in a variety of ways. We employ AceStack ambassador who helps guide Consultants through the on-boarding process and ensure the transition into their new role with our Client is seamless. We also have dedicated Consultant care representatives located throughout our organization who provide the same level of attention throughout our Consultant’s tenure. Due to this level of attention and care, AceStack enjoys not only one of the highest retention rates in the staffing industry but also one of the highest redeployment rates in the industry.

Company size

51 - 200 Employees

Headquarters location

NJ, US

Year founded

2017

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