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Senior Data Engineer – Airflow, DBT Core, Kubernetes​/OpenShift; CP - NJ

Job in Jersey City, Hudson County, New Jersey, 07390, USA
Listing for: Yoh Services LLC
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    Data Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: Senior Data Engineer – Airflow, DBT Core, Kubernetes/OpenShift (CP) - NJ

Senior Data Engineer – Airflow, DBT Core, Kubernetes/Open Shift

Location:

Onsite

Job Summary

We are seeking a highly skilled Senior Data Engineer with 8+ 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 / Open Shift).

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.

Key Responsibilities
  • Data Pipeline & Orchestration
    • Design, develop, and maintain complex Airflow DAGs for batch and event-driven data pipelines
    • Implement best practices for DAG performance, dependency management, retries, SLA monitoring, and alerting
    • Optimize Airflow scheduler, executor, and worker configurations for high-concurrency workloads
  • dbt Core & Data Modeling
    • Lead dbt Core implementation, including project structure, environments, and CI/CD integration
    • Design and maintain robust dbt models (staging, intermediate, marts) following analytics engineering best practices
    • Implement dbt tests, documentation, macros, and incremental models to ensure data quality and performance
    • Optimize dbt query performance for large-scale datasets and downstream reporting needs
  • Cloud, Kubernetes & Open Shift
    • Deploy and manage data workloads on Kubernetes / Open Shift platforms
    • Design strategies for workload distribution, horizontal scaling, and resource optimization
    • Configure CPU/memory requests and limits, autoscaling, and pod scheduling for data workloads
    • Troubleshoot container-level performance issues and resource contention
  • Performance & Reliability
    • Monitor and tune end-to-end pipeline performance across Airflow, dbt, and data platforms
    • Identify bottlenecks in query execution, orchestration, and infrastructure
    • Implement observability solutions (logs, metrics, alerts) for proactive issue detection
    • Ensure high availability, fault tolerance, and resiliency of data pipelines
  • Collaboration & Governance
    • Work closely with data architects, platform engineers, and business stakeholders
    • Support financial reporting, accounting, and regulatory data use cases
    • Enforce data engineering standards, security best practices, and governance policies
Required

Skills & Qualifications
  • Experience
    • 10+ years of professional experience in data engineering, analytics engineering, or platform engineering roles
    • Proven experience designing and supporting enterprise-scale data platforms in production environments
  • Must-Have Technical Skills
    • Expert-level Apache Airflow (DAG design, scheduling, performance tuning)
    • Expert-level DBT Core (data modeling, testing, macros, implementation)
    • Strong proficiency in Python for data engineering and automation
    • Deep understanding of Kubernetes and/or Open Shift in production environments
    • Extensive experience with distributed workload management and performance optimization
    • Strong SQL skills for complex transformations and analytics
  • Cloud & Platform Experience
    • Experience running data platforms on cloud environments
    • Familiarity with containerized deployments, CI/CD pipelines, and Git-based workflows
  • Preferred Qualifications
    • Experience supporting financial services or accounting platforms
    • Exposure to enterprise system migrations (e.g., legacy platform to modern data stack)
    • Experience with data warehouses (Oracle)
Compensation & Benefits

Estimated Min Rate
: $56.00

Estimated Max Rate
: $80.00

What’s In It For You?

We welcome you to be part of Yoh, a large global staffing company with decades of experience. Benefits 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)
  • Met Life 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.

Visit to contact us if you are an individual with a disability and require accommodation in the application process.

For California applicants, qualified applicants with arrest or conviction…

Position Requirements
10+ Years work experience
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