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