Senior Data Engineer

Job Summary (Senior Data Engineer – Jersey City, NJ, Onsite 3 Days/Week)

• 10+ years of experience in data engineering, analytics engineering, or platform engineering roles

• Hands-on expertise in Apache Airflow (DAG design, scheduling, performance tuning) and DBT Core (data modeling, testing, implementation)
• Strong Python programming skills for data engineering and automation

• Deep, practical experience with Kubernetes and/or OpenShift in production, preferably on-premises

• Extensive background in distributed workload management and performance optimization

• Strong SQL skills for complex data transformations and analytics

• Experience designing, building, and supporting enterprise-scale data platforms in production

• Familiarity with containerized deployments, CI/CD pipelines, and Git-based workflows

• Excellent verbal and written communication skills

• Preferred: Experience in financial services or accounting platforms, enterprise migrations, and data warehouses (e.g., Oracle)
• Role involves close interaction with infrastructure, hands-on Kubernetes operations, Airflow and DBT model development in an on-prem OpenShift environment

• Local candidates only (Jersey City, NJ); 6-12 month contract

• Interview process: 2 rounds (1 video, 1 in-person)