Senior Data Engineer - Airflow, dbt & Kubernetes Expert

Randstad Digital Americas; Jersey City (NJ); On-site; USD 110,000 - 117,000; Full time

Job summary

Randstad Digital Americas in Jersey City, New Jersey, seeks a Senior Data Engineer with 8+ years of enterprise data engineering experience, specializing in Airflow DAG development, dbt Core modeling, and cloud-native container platforms.

You will design and maintain complex data pipelines, lead dbt projects, and deploy on Kubernetes/OpenShift, ensuring performance, reliability, and governance across analytics workloads.

Qualifications

• 8+ years of hands-on data engineering experience.
• Experience with enterprise data platforms in production.
• Strong expertise in Airflow DAG design and optimization.
• Proficient in Python for data automation.
• Experience with Kubernetes/OpenShift deployments.

Responsibilities

• Design, develop, and maintain Airflow DAGs for batch/event pipelines.
• Lead dbt Core implementation, modeling, testing, and CI/CD integration.
• Optimize Airflow, dbt, and data workloads for performance and reliability.
• Deploy and manage data workloads on Kubernetes/OpenShift.
• Collaborate with data architects and stakeholders for governance.

Skills

Apache Airflow

DBT Core

Python

Kubernetes

OpenShift

SQL

CI/CD

Git workflows

Education

Bachelor's degree

Job description

Randstad Digital Americas in Jersey City, New Jersey, seeks a Senior Data Engineer with 8+ years of enterprise data engineering experience, specializing in Airflow DAG development, dbt Core modeling, and cloud-native container platforms.

You will design and maintain complex data pipelines, lead dbt projects, and deploy on Kubernetes/OpenShift, ensuring performance, reliability, and governance across analytics workloads.