Senior Data Engineer - Airflow, dbt, Kubernetes/OpenShift

Akaasa Technologies

Jersey City, NJ, United States

5 days ago

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Role details

Contract type

Temporary to permanent

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

8 years minimum

Compensation

$141,400.0 - $171,100.0

Working hours

Regular working hours

Job source

www.careerjet.com

Tech stack

Artificial Intelligence Airflow Databases Continuous Integration Information Engineering Database Queries Python (Programming Language) OpenShift Oracle Warehouse Builder Performance Tuning Query Optimization SQL Databases

+10 more

Workflow Management Systems Data Processing Cloud Platform System Macros Containerization Git Flow Kubernetes Data Management Data Pipelines Legacy Systems

Job description

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Requirements

We are seeking a highly skilled Senior Data Engineer with 8+ years of hands-on experience in enterprise data engineering, with deep expertise in Apache Airflow, dbt Core, Python, SQL, Kubernetes, and OpenShift. This role will focus on building, operating, and optimizing scalable data pipelines supporting financial and accounting platforms, including enterprise system migrations and high-volume data processing workloads. The ideal candidate will have strong experience in workflow orchestration, data modeling, performance tuning, and distributed workload management in containerized environments. Required Skills & Qualifications

10+ years of professional experience in data engineering, analytics engineering, or platform engineering.
Proven experience designing and supporting enterprise-scale data platforms in production environments.
Expert-level experience with Apache Airflow, including DAG design, scheduling, orchestration, and performance tuning.
Expert-level experience with dbt Core, including data modeling, testing, macros, incremental models, and implementation.
Strong Python skills for data engineering and automation.
Strong SQL skills for complex transformations, analytics, and query optimization.
Deep understanding of Kubernetes and/or OpenShift in production environments.
Experience with distributed workload management and performance optimization.
Experience running data platforms in cloud environments.
Familiarity with containerized deployments, CI/CD pipelines, and Git-based workflows.
Experience supporting financial services or accounting platforms is preferred.
Experience with enterprise system migrations from legacy platforms to modern data stacks is preferred.
Experience with Oracle data warehouses/databases is preferred.