Senior Data Platform Engineer: Airflow & DBT on Kubernetes

A & D Lock And Key Inc

Jersey City (NJ)

On-site

USD 77,000 - 110,000

Full time

3 days ago
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Benefits offered by this job

Medical, Prescription, Dental & Vision
Health Savings Account (HSA)
Life & Disability Insurance
401K Retirement Savings Plan
Direct Deposit & weekly epayroll
Certification and training

Job summary

Yoh, a Day & Zimmermann company, seeks a Senior Data Platform Engineer in Jersey City, NJ. The role focuses on hands-on Apache Airflow DAG development, dbt Core modeling, and Kubernetes/OpenShift in an on-prem OpenShift environment. Hybrid onsite available for ~3 days per week under W2/contract terms.

The candidate will design, build, and optimize scalable data pipelines for financial platforms, collaborating with infrastructure teams to ensure robust, high-performance data processing.

Qualifications

  • 10+ years of data engineering experience in production environments.
  • Hands-on with Airflow DAG development and dbt Core modeling.
  • Kubernetes and on-prem OpenShift experience required.
  • Ability to work in a hybrid onsite role in Jersey City.

Responsibilities

  • Design, build, and optimize enterprise data pipelines.
  • Develop Airflow DAGs and dbt models in Kubernetes/OpenShift clusters.
  • Collaborate with infrastructure teams for on-prem deployments.
  • Ensure performance tuning and scalable data workflows.

Skills

Airflow
dbt Core
Kubernetes/OpenShift
Data engineering

Tools

Apache Airflow
dbt Core
Kubernetes
OpenShift

Job description

Yoh, a Day & Zimmermann company, seeks a Senior Data Platform Engineer in Jersey City, NJ. The role focuses on hands-on Apache Airflow DAG development, dbt Core modeling, and Kubernetes/OpenShift in an on-prem OpenShift environment. Hybrid onsite available for ~3 days per week under W2/contract terms.

The candidate will design, build, and optimize scalable data pipelines for financial platforms, collaborating with infrastructure teams to ensure robust, high-performance data processing.

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