Senior Data Engineer

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AI Summary

Design, develop, and maintain complex data pipelines using Apache Airflow, dbt Core, and Kubernetes. Lead dbt Core implementation, implement best practices for DAG performance, and optimize database query performance for large-scale datasets. Work closely with data architects, platform engineers, and business stakeholders to support financial reporting, accounting, and regulatory data use cases.

Key Highlights
Apache Airflow DAG development
dbt Core modeling and implementation
Kubernetes and OpenShift deployment
Key Responsibilities
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
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
Deploy and manage data workloads on Kubernetes/OpenShift platforms
Design strategies for workload distribution, horizontal scaling, and resource optimization
Configure CPU/memory requests and limits, autoscaling, and pod scheduling for data workloads
Technical Skills Required
Apache Airflow dbt Core Kubernetes OpenShift DAG development data modeling performance tuning distributed workload management
Benefits & Perks
Medical insurance
Prescription insurance
Dental insurance
Vision insurance
Health Savings Account
Life insurance
Disability insurance
MetLife Voluntary Benefits
Employee Assistance Program
401K Retirement Savings Plan
Direct Deposit
Weekly epayroll
Referral Bonus Programs

Job Description


Please send current resumes directly to bhagyashree.yewle@yoh.com
Bhagyashree Yewle, Principal Lead Recruiter - YOH SPG
https://www.linkedin.com/in/bhagyashreeyewle/

ONSITE INTERVIEWS REQUIRED // Senior Data Engineer – Apache Airflow, DBT Core, Kubernetes & OpenShift - Jersey City NJ

Open to W2 as well as CTC contractors. Candidates visa sponsorship are welcome to apply!
  • Location: Jersey City, NJ, Hybrid: Yes, 3 days a week
  • Interview Process: 2 rounds
MUST HAVE SKILLS
  • 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.
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.

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 & OpenShift
  • Deploy and manage data workloads on Kubernetes / OpenShift 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

Estimated Min Rate: $70.00

Estimated Max Rate: $85.00


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.

Visit https://www.yoh.com/applicants-with-disabilities 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 records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

By applying and submitting your resume, you authorize Yoh to review and reformat your resume to meet Yoh’s hiring clients’ preferences. To learn more about Yoh’s privacy practices, please see our Candidate Privacy Notice: https://www.yoh.com/privacy-notice


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