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Job Title: Senior Data Engineer.
Location: Jersey City, NJ (On-site).
Employment Type: Contract (W2 through ZipStaff — No C2C or 1099).

About the Opportunity:

ZipStaff is seeking a Senior Data Engineer to build and operate enterprise data pipelines for a leading healthcare analytics organization supporting financial and accounting platforms.

This role requires expert-level Apache Airflow, dbt Core, and production Kubernetes / OpenShift. General ETL or warehouse-only engineers without orchestration and container depth will not be a fit.

What You’ll Do:

Design, build, and maintain complex Airflow DAGs (batch and event-driven).
Tune DAG performance, dependencies, retries, SLAs, and alerting.
Optimize Airflow scheduler, executor, and workers for high-concurrency workloads.
Lead dbt Core implementation: project structure, environments, and CI/CD.
Design staging / intermediate / mart models, tests, docs, macros, and incremental models.
Optimize dbt/SQL performance for large datasets and downstream reporting.
Deploy and run data workloads on Kubernetes / OpenShift.
Set CPU/memory requests and limits, autoscaling, and pod scheduling.
Troubleshoot container performance and resource contention.
Monitor end-to-end pipeline health; add logs, metrics, and alerts.
Partner with architects, platform engineers, and business stakeholders.
Support financial reporting, accounting, and regulated data use cases.
Enforce data-engineering standards, security, and governance.

Required Qualifications:

10+ years in data engineering, analytics engineering, or data platform engineering.
Expert-level Apache Airflow (DAG design, scheduling, performance tuning).
Expert-level dbt Core (modeling, testing, macros, production implementation).
Strong Python for data engineering and automation.
Production Kubernetes and/or OpenShift for data workloads.
Strong SQL for complex transformations.
Experience with distributed workload management and performance tuning.
Cloud data platforms, containerized deploys, CI/CD, and Git.
Ability to work on-site in Jersey City, NJ.
Must be legally authorized to work in the United States without sponsorship now or in the future.

Preferred Qualifications:

Financial services or accounting data platforms.
Enterprise migrations from legacy systems to a modern data stack.
Data warehouse experience, including Oracle.

About ZipStaff:

ZipStaff partners with leading organizations to connect skilled technology professionals with high-impact contract opportunities. We focus on quality matches and long-term success.

To apply, please submit your resume highlighting production Airflow DAGs, dbt Core modeling, and Kubernetes/OpenShift data workloads.

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