Senior Data Platform Engineer - OpenShift must - Hybrid Onsite in Jersey City, NJ - 10 plus years ex

Yoh, A Day & Zimmermann Company • New Jersey, United States • 8h ago

Job Description Please contact
Renu Goel

local to NJ
Inperson interview

Top 5 must haves: Senior Level openshift must

Python
Airflow/DBT
Communication, both written & Verbal
Kubernetes

the role requires hands-on experience with DBT and Apache Airflow deployed on Kubernetes, specifically within an on-prem OpenShift environment. Given these requirements, we are looking for someone with deeper, practical experience in DBT and Airflow within Kubernetes-based, on-prem environments.
If background is predominantly on GCP, and while this is valuable, we are currently more conservative with cloud-native platforms. 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.

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

Location: Jersey City, NJ Hybrid: 3 days a week

- MUST HAVE HANDS ON Apache Airflow DAG development, dbt Core, Kubernetes, on-prem OpenShift experience

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.

Estimated Min Rate: $56.00

Estimated Max Rate: $80.00

What's In It for You?
We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh's network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh's extensive talent community that will provide you with access to Yoh's vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include:

Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week)
Health Savings Account (HSA) (for employees working 20+ hours per week)
Life & Disability Insurance (for employees working 20+ hours per week)
MetLife Voluntary Benefits
Employee Assistance Program (EAP)
401K Retirement Savings Plan
Direct Deposit & weekly epayroll
Referral Bonus Programs
Certification and training opportunities

Note: Any pay ranges displayed are estimations. Actual pay is determined by an applicant's experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply.

Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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