Senior Data Engineer

Based in New Jersey and established in 2010, Asset Based Lending, LLC (“ABL”) is one of the nation’s leading Hard Money Lenders. We provide fast bridge financing to real estate investors for the purchase, renovation, or new construction of single family, multi-family and mixed-use properties as well as DSCR rental loans for long term investors. We have closed thousands of loans since we began lending fourteen years ago, producing nearly $3B in originations.

ABL was acquired by a private equity firm in 2021, and with a renewed focus on growth, we’ve set our sights on consistent evolution and cementing our place as the premier private lender in the country.

• Make Good Loans
• Provide Exceptional Service, Every Time
• Protect The Firm
• Build The Future

We are seeking a Senior Data Engineer to own and evolve our enterprise data platform, enabling trusted analytics, regulatory reporting, and AI-ready data s role will lead the design, implementation, and optimization of our new data lake and data warehouse, integrating multiple internal and external source systems while ensuring strong standards for data quality, governance, security, and reliability.

This is a hands‑on individual contributor role with significant architectural ownership and technical decision‑making authority. The Senior Data Engineer will work closely with Analytics, AI/Data Science, and business stakeholders to translate complex business and regulatory requirements into scalable, compliant, and high‑performance data solutions that support ABL’s growth and operational excellence.

• Own end‑to‑end design, implementation, and evolution of enterprise data pipelines and core data domains, from source ingestion through analytics and AI‑ready datasets
• Architect, develop, and optimize scalable ETL/ELT pipelines integrating multiple internal and external source systems
• Lead the design and optimization of the data lake and data warehouse to support analytics, regulatory reporting, and operational decision‑making
• Define and enforce standards for data modeling, testing, deployment, and documentation to ensure long term scalability and maintainability
• Implement and maintain data quality, reliability, and observability practices, including automated testing, monitoring, and alerting
• Establish and support data governance, metadata management, lineage, and role‑based access controls in partnership with business and compliance stakeholders
• Design and maintain analytics and ML‑ready datasets to support BI, advanced analytics, and future AI/ML initiatives
• Apply Dev Ops and Data Ops best practices, including CI/CD, version control, and environment management for data pipelines
• Troubleshoot and resolve complex data issues involving legacy systems, custom integrations, and evolving business requirements
• Partner closely with Analytics, AI/Data Science, and business leaders to translate complex business and regulatory requirements into robust technical solutions
• Provide technical guidance, code reviews, and best practices to junior data engineers and analysts, contributing to a high‑quality data engineering practice (no direct people management)
• Create and maintain clear, comprehensive documentation for data models, pipelines, architectures, and governance processes to support scalability, knowledge sharing, and operational continuity

• Extensive professional experience in data engineering or related roles
• Demonstrated experience owning and operating production‑grade data platforms in a cloud environment
• Proven experience designing and scaling data lakes and data warehouses supporting analytics, reporting, and business critical use cases
• Strong ability to translate complex business and regulatory requirements into reliable, maintainable data solutions
• Experience operating autonomously as a senior individual contributor with accountability for architecture, quality, and delivery
• Senior individual contributor role with no direct people management responsibilities
• This role reports to the Analytics & AI/Data Science Lead

• Bachelor’s degree in computer science, Engineering, or a…