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Job Description
Senior Data Engineer with Kubernetes/OpenShift, Jersey City, NJ, US
Data Engineer – Airflow, dbt, Kubernetes
Job Description
- 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 / 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.
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
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- 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
- 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
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- 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
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- 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
- Long-Term Stability: Join us on a multi-year opportunities with room to grow.
- Comprehensive Health Coverage: Access quality healthcare benefits to keep you and your family well.
- Future Planning: Enroll in our 401(k) program and invest in your financial security.
- GC Assistance: We support immediate Green Card processing, if required.
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