Senior Data Engineer

Sr Data EngineerLocation: Jersey City, NJDuration: Long TermMust Have Skills10+ years of professional experience in data engineering, designing and supporting enterprise-scale data platforms in production environmentsThe 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.Job SummaryWe 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.Required Skills & Qualifications:8-10+ years of professional experience in data engineering, analytics engineering, or platform engineering rolesProven experience designing and supporting enterprise-scale data platforms in production environmentsExpert-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 automationDeep understanding of Kubernetes and/or OpenShift in production environmentsExtensive experience with distributed workload management and performance optimizationStrong SQL skills for complex transformations and analyticsExperience running data platforms on cloud environmentsFamiliarity with containerized deployments, CI/CD pipelines, and Git-based workflowsExperience supporting financial services or accounting platforms is plusExposure to enterprise system migrations (e.g.