Software Engineer III, Data Pipelines

Posted 3 Days Ago
Be an Early Applicant
San Diego, CA, USA
Hybrid
126K-159K Annually
Senior level
Financial Services
The Role
As a Software Engineer III for Data Pipelines, you'll design, build, and optimize scalable ETL/ELT data pipelines, API development, and assist in data governance and MLOps in a fintech setting.
Summary Generated by Built In

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.

Mulligan Funding is an Equal Opportunity Employer (EOE) and takes great pride in building a diverse work environment. Qualified applicants are considered for employment without regard to age, race, religion, gender, national origin, sexual orientation, disability or veteran status.

Top Skills

Azure Cosmos Db
Azure Machine Learning
Azure Services
Dbt
Docker
Kubernetes
Postgres
Python
Trino
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The Company
HQ: San Diego, CA
159 Employees
Year Founded: 2008

What We Do

Mulligan Funding exists to provide invaluable financial solutions to the small and medium-sized businesses that fuel our country. Through our unique ability to combine technology, a human touch, and unwavering integrity, we help those we serve bring their dreams to life. We believe trust is earned one client at a time. We look forward to earning yours. https://www.MulliganFunding.com

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