Data Engineer

Who We Are - Company Overview

CSC Leasing is a $1.3 billion equipment financing company purpose-built for the innovation economy. We partner with venture capital and private equity-backed companies across capital-intensive industries—from advanced manufacturing and life sciences to aerospace and industrial automation—providing the flexible financing solutions that high-growth companies need to scale without diluting their equity.

Unlike traditional lenders who shy away from emerging technologies and pre-profitability businesses, we lean in, underwriting the future by combining deep sector expertise with a venture-informed credit philosophy. Our team operates at the intersection of finance and innovation, evaluating leading-edge technologies and bold business models every single day.

If you thrive on intellectual curiosity, want a front-row seat to the companies reshaping entire industries, and believe that smart capital can be a catalyst for transformational change, CSC is where you belong.

Overview of role:

As a Data Engineer, you will build and maintain the data foundation that enables CSC to turn decades of proprietary business and operating history into actionable intelligence. You will design, build, and maintain scalable data pipelines, models, and data services that connect information across CSC's enterprise systems and historical data sources.

You will help create a trusted, governed, and accessible enterprise data environment spanning the full lifecycle of CSC's business - from origination and credit decisioning through funding, portfolio performance, asset management, end-of-lease activity, workouts, and ultimate economic outcomes. This is a highly hands-on engineering role that combines strong data engineering fundamentals with curiosity about the business and the ability to transform fragmented operational data into durable enterprise data assets that support analytics, data science, AI, and intelligent applications.

Role Impact

Success in this position means:

· CSC's historical and current data becomes connected, governed, trusted, and reusable.

· Data from Salesforce, NetSuite, AWS, legacy systems, documents, and other enterprise sources can be analyzed together.

· CSC can connect historical business decisions with actual economic outcomes.

· Data scientists and analysts spend less time finding, cleaning, and reconciling data and more time generating insights.

· Applications and other CSC agentic applications have secure access to high-quality, well-structured enterprise data.

· Data quality, lineage, documentation, and governance become embedded in the data platform rather than handled manually.

· CSC builds a proprietary data intelligence capability that becomes more valuable as additional history and operating data are incorporated.

Team Dynamics

· Collaborative Environment: Work closely with the Director, Innovation & Data Science, the Innovation Team, CSC's Senior Platform Engineer, and business stakeholders across origination, credit, portfolio, and asset management.

· Innovation Team Role: Be an integral part of CSC's Innovation Department, building the enterprise data foundation that powers analytics, data science, and AI-enabled applications.

Reporting Structure: Report directly to the Director, Innovation & Data Science, ensuring alignment with CSC's data and AI strategy.