About the Job

Contract Senior Data Engineer – Airflow, DBT Core, Kubernetes/OpenShift - Hybrid Onsite in Jersey City, NJ - Hybrid for 3 days

MUST HAVE SKILLS
10+ years of professional experience in data engineering, designing and supporting enterprise-scale data platforms in production environments
The role requires hands-on experience with DBT and Apache Airflow deployed on Kubernetes, specifically within an on-prem OpenShift environment.
This position involves closer interaction with infrastructure, including Kubernetes operations, Airflow design and implementation, and hands-on dbt model development in an on-prem setup.
Given these requirements, we are looking for someone with deeper, practical experience in dbt and Airflow within Kubernetes-based, on-prem environments.

Job Summary:
We are seeking a highly skilled Senior Data Engineer with 8-10+ years of hands-on experience in enterprise data engineering, including deep expertise in Apache Airflow DAG development, dbt Core modeling and implementation, and cloud-native container platforms (Kubernetes / OpenShift). This role is critical to building, operating, and optimizing scalable data pipelines that support financial and accounting platforms, including enterprise system migrations and high-volume data processing workloads. The ideal candidate will have extensive hands-on experience in workflow orchestration, data modeling, performance tuning, and distributed workload management in containerized environments.

Required Skills

• Senior Data Engineer – Airflow
• DBT Core
• Kubernetes/