Senior Data Engineer - Airflow, dbt, Kubernetes/OpenShift

Yoh, A Day & Zimmermann Company; Jersey City (NJ); Hybrid; USD 103,000 - 131,000; Full time

Benefits offered by this job

Medical, Prescription, Dental & Vision

Health Savings Account (HSA)

Life & Disability Insurance

MetLife Voluntary Benefits

Employee Assistance Program (EAP)

401K Retirement Savings Plan

Direct Deposit & weekly epayroll

Referral Bonus Programs

Certification and training

Job summary

Yoh, A Day & Zimmermann Company in Jersey City, NJ is seeking a Senior Data Engineer for a contract role with a hybrid schedule. You will build and operate data pipelines across Apache Airflow, dbt Core, and Kubernetes/OpenShift in an on-prem environment supporting financial and accounting platforms.

The role emphasizes hands-on development and operations, workflow orchestration, data modeling, and performance tuning within containerized deployments.

Qualifications

• 10+ years of professional data engineering experience in production environments.
• Hands-on with Apache Airflow DAGs, dbt Core, Kubernetes, and OpenShift.
• Experience deploying on-prem OpenShift in enterprise settings.
• Experience building and operating scalable data pipelines for financial/accounting platforms.

Responsibilities

• Build, operate, and optimize scalable data pipelines for financial platforms.
• Support enterprise system migrations and high-volume processing workloads.
• Perform workflow orchestration.
• Conduct data modeling.
• Handle performance tuning.
• Manage distributed workloads in Kubernetes/OpenShift on-prem environments.

Skills

Data engineering

Production pipelines

Containerized workloads

On-prem infrastructure

Tools

Apache Airflow

dbt Core

Kubernetes

OpenShift

Job description

Yoh, A Day & Zimmermann Company in Jersey City, NJ is seeking a Senior Data Engineer for a contract role with a hybrid schedule. You will build and operate data pipelines across Apache Airflow, dbt Core, and Kubernetes/OpenShift in an on-prem environment supporting financial and accounting platforms.

The role emphasizes hands-on development and operations, workflow orchestration, data modeling, and performance tuning within containerized deployments.