Asset Based Lending · 23 hours ago
Senior Data Engineer
Cherry Hill, NJ
Full-time
Onsite
Senior Level
$150K/yr - $165K/yrAsset Based Lending, LLC is a leading Hard Money Lender based in New Jersey, specializing in fast bridge financing for real estate investors. They are seeking a Senior Data Engineer to lead the design and optimization of their enterprise data platform, ensuring high-quality data solutions that support analytics and operational excellence.
LendingReal EstateService Industry
Hiring Manager
Christa Raspante
Responsibilities
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 DevOps and DataOps 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
Qualification
Required
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
Bachelor's degree in computer science, Engineering, or a related quantitative field
Strong proficiency in Python, including PySpark, for data engineering, automation, and pipeline development
Expert-level SQL for analytical modeling, performance tuning, and data warehouse optimization
Deep experience with dbt for transformation, testing, and analytics engineering
Hands-on experience designing and operating modern cloud data platforms (Snowflake, Databricks, and/or Microsoft Fabric)
Experience building and managing ELT pipelines using tools such as Fivetran, Airbyte, or equivalent technologies
Experience implementing data governance, metadata management, lineage, and access controls using tools such as Collibra or Microsoft Purview
Strong foundation in data modeling (dimensional, analytical, and domain-oriented models)
Experience implementing data quality, testing, and observability practices for production data pipelines
Familiarity with CI/CD, version control, and Infrastructure-as-Code concepts applied to data platforms
Solid understanding of security, privacy, and access control considerations in enterprise data environments
Preferred
Certifications are a plus, and experience with the following cloud platforms: AWS, Azure, or Google Cloud Platform
Data warehousing or analytics certifications
Experience supporting BI tools such as Power BI or similar analytics platforms
Company
Asset Based Lending
Asset Based Lending is a hard money lender to local real estate investors.
Founded in 2010
51-200 employees
Funding
Current Stage
Growth StageTotal Funding
$175M2024-11-04Debt Financing· $175M
Leadership Team
Kevin Rodman
Chief Executive Officer
Adam Cohen
Chief Operating Officer
Recent News
2025-09-12
2025-09-12
Company data provided by crunchbase