Senior Data Engineer

CUBE is a global RegTech business that delivers regulatory intelligence for the financial services industry through SaaS solutions powered by AI. We're a fast-paced, high-performing team that thrives on pushing boundaries and empowering our employees to make a real difference.

Requirements

• Design & Development: Build robust ETL pipelines and scalable data solutions using Microsoft Fabric, Python, Apache Spark, and SSIS.
• Data Integration: Develop reliable data integration frameworks that consolidate structured and unstructured data from various sources.
• Data Processing & Transformation: Create and optimize data transformation logic using Python, Spark SQL, and PySpark.
• Infrastructure Optimization: Monitor, troubleshoot, and enhance the performance, scalability, and resilience of data pipelines and infrastructure.
• Collaboration: Work closely with data scientists, analysts, and business stakeholders to gather data requirements and deliver efficient and secure data solutions.
• Data Modeling: Design data models (relational and dimensional) that support operational processes and business reporting needs.
• Governance & Compliance: Implement and uphold data governance, quality, and security standards across all systems and processes.
• Documentation & Mentoring: Maintain thorough documentation of data architecture, pipelines, and workflows. Mentor junior data engineers and contribute to knowledge-sharing across the team.

Benefits

• Generous Paid Time Off
• 401k Matching
• Retirement Plan
• Visa Sponsorship
• Four Day Work Week
• Generous Parental Leave
• Tuition Reimbursement
• Relocation Assistance