Hybrid Work Data Jobs

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2mo ago

Contract Senior Data Engineer – Airflow, DBT Core, Kubernetes/OpenShift - Hybrid Onsite

Yoh, A Day & Zimmermann Company Jersey City, NJ

Jersey City, NJ

2mo ago Closed

$56 - $80/hr Contract Apache Airflow Automation Contract Development

This position is no longer accepting applications (closed Jun 12, 2026).

Job Description

What you get with Yoh, a Day & Zimmermann Company, goes beyond a competitive hourly rate. Eligible employees receive a comprehensive benefits package and access to certification and training opportunities, plus a collaborative, hybrid onsite work environment in Jersey City, NJ. This contract role offers an hourly range of USD 56 - 80, with weekly epayroll and a pathway to contribute to mission-critical data platforms.

This contract Senior Data Engineer role centers on building and optimizing Airflow DAGs, modeling with dbt Core, and operating in Kubernetes/OpenShift environments on-prem, with on-site collaboration in Jersey City.

Responsibilities

Design, operate, and tune scalable data pipelines that support financial and accounting platforms, including enterprise system migrations and high-volume data processing workloads.
Develop Apache Airflow DAGs hands-on within Kubernetes-based on-prem OpenShift environments.
Create and deploy dbt Core models within an on-prem Kubernetes/OpenShift setup.
Architect workflow orchestration, data modeling, performance optimization, and distributed workload management in containerized environments.
Collaborate with infrastructure teams on Kubernetes operations, Airflow design and implementation, and on-prem dbt model development.

Requirements

10+ years of professional experience in data engineering, designing and supporting enterprise-scale data platforms in production environments.
Hands-on experience deploying dbt Core and Apache Airflow on Kubernetes, specifically within an on-prem OpenShift environment.
Close collaboration with infrastructure teams on Kubernetes operations, Airflow design and implementation, and hands-on dbt model development in an on-prem setup.
Deep, practical experience with dbt and Airflow within Kubernetes-based, on-prem environments.

Technologies

Apache Airflow
dbt Core
Kubernetes
OpenShift

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