ONSITE/Senior Data Engineer – Python & Airflow/Dbt Core & Kubernetes/Ope
Listed on 2026-02-07
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IT/Tech
Data Engineer, Cloud Computing
Overview
Senior Data Engineer position with expertise in Python, Airflow, DBT Core, and Kubernetes/Open Shift. Onsite interviews are required. Jersey City, NJ.
Key Highlights- Senior Data Engineer level with strong communication (written and verbal)
- Technical focus on Python, Airflow/DBT Core (Apache Airflow DAG development)
- Kubernetes/Open Shift experience
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)
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 builds, operates, and optimizes scalable data pipelines supporting financial and accounting platforms, including enterprise system migrations and high-volume data processing workloads.
The candidate will have extensive hands-on experience in workflow orchestration, data modeling, performance tuning, and distributed workload management in containerized environments.
- 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 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
: $65.00
Estimated Max Rate
: $80.00
We invite you to join Yoh, a large global staffing company with over 65 years in the U.S., UK, and Canada. You will gain access to Yoh’s extensive network of opportunities and this exclusive opportunity. Benefits eligibility is in accordance with…
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