Software Engineer III, Data Pipelines

Headquartered in San Diego, Mulligan Funding serves as a leading provider of working capital (Up to $5M) to the small and medium-sized businesses that fuel our country. Since 2008, we have prided ourselves on our collaborative, innovative, and customer-focused approach. Enjoying a period of unprecedented growth, driven by the combination of cutting-edge technology, human touch, and unwavering integrity, we are looking to add to our people first culture, with highly motivated and results-oriented professionals, to push the limits of what’s possible while creating value for all of our partners.

As a Software Engineer - Data Pipeline at Mulligan Funding, you are responsible for the system design and end-to-end execution of scalable data pipelines within a high-growth fintech environment. In this role, you will build and maintain the mission-critical infrastructure required to integrate high-volume data from PostgreSQL, Azure Cosmos DB, and a modern Data Lakehouse. You will act as a key technical partner to Data Scientists and Analysts, developing robust Python-based microservices and dbt models to ensure the reliability, accuracy, and accessibility of data used for predictive modeling and strategic business initiatives.

Headquartered in San Diego, Mulligan Funding serves as a leading provider of working capital (Up to $5M) to the small and medium-sized businesses that fuel our country. Since 2008, we have prided ourselves on our collaborative, innovative, and customer-focused approach. Enjoying a period of unprecedented growth, driven by the combination of cutting-edge technology, human touch, and unwavering integrity, we are looking to add to our people first culture, with highly motivated and results-oriented professionals, to push the limits of what’s possible while creating value for all of our partners.

As a Software Engineer - Data Pipeline at Mulligan Funding, you are responsible for the system design and end-to-end execution of scalable data pipelines within a high-growth fintech environment. In this role, you will build and maintain the mission-critical infrastructure required to integrate high-volume data from PostgreSQL, Azure Cosmos DB, and a modern Data Lakehouse. You will act as a key technical partner to Data Scientists and Analysts, developing robust Python-based microservices and dbt models to ensure the reliability, accuracy, and accessibility of data used for predictive modeling and strategic business initiatives.

What You'll Do

Data Platform Engineering

• Design, build, and optimize ETL/ELT pipelines using dbt

• Develop and maintain scalable data infrastructure across PostgreSQL, Azure Cosmos DB, and Azure services

• Manage and evolve Data Lakehouse architecture, including Apache Iceberg table formats

• Improve performance, reliability, and scalability of data systems

API & Backend Development

• Build and maintain Python-based APIs and microservices (Flask or similar frameworks)

• Design backend services supporting real-time and batch data access

• Enable seamless integration between data platforms and user-facing applications

• Work with distributed query engines (Trino) to analyze large, complex datasets

Data Quality, Governance & Automation

• Monitor, troubleshoot, and resolve data quality issues

• Manage schema evolution and database performance

• Implement data governance practices including lineage and cataloging

• Automate data workflows and improve observability through logging and monitoring

AI & Platform Enablement

• Support Data Science teams by building frameworks for model development and deployment

• Contribute to MLOps workflows using Azure Machine Learning

• Containerize and orchestrate workloads using Docker and Kubernetes

• Provide technical mentorship and guidance to junior engineers

What You Bring

Required Qualifications

• 5+ years of experience in data engineering or related roles

• Strong Python skills with experience in building production-grade APIs and microservices

• Deep expertise in SQL and PostgreSQL (schema design, performance tuning)

• Hands-on experience with dbt for data transformation and pipeline development

• Experience working with large-scale data systems and data lake environments

• Familiarity with Azure services including Event Hub/Grid and Cosmos DB

• Experience with distributed query engines (e.g., Trino)

• Exposure to MLOps workflows and tools, ideally within Azure ML

Nice to Have

• Experience integrating with Salesforce or similar systems

• Interest or experience in emerging AI patterns (e.g., agent-based systems, autonomous workflows)

• Familiarity with AI-assisted development tools (Copilot, Cursor, etc.)

• Experience with Docker and Kubernetes for orchestration

• Background in data governance, cataloging, or lineage tools

Why Mulligan Funding?

High-impact role working on mission-critical data systems

Opportunity to shape the future of data and AI within fintech

Collaborative, fast-moving environment with strong technical ownership

We Offer

• Comprehensive medical, vision and dental benefits that give you peace of mind.

• Flexible Spending Accounts (FSA) that let you use pre-tax dollars to cover healthcare expenses.

• A fantastic 401K with matching contributions that helps you plan for retirement and build wealth over time.

• Generous sick, vacation, and holiday benefits that give you the time and flexibility you need to enjoy life.

• A gym membership contribution that supports your well-being, and helps you stay energized and focused.

• An internal referral program that rewards you for bringing talented people to the team.

• Company events that foster a positive and inclusive culture, and create opportunities to bond and grow with your colleagues.