Data Engineer III

Mulligan Funding • San Diego, CA

1d

About The Position

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 Data Engineer III, you are responsible for leveraging data to drive business initiatives and ensuring the reliability, scalability, and accuracy of the data pipeline. You will collaborate closely with Data Analysts and Data Scientists to generate and validate data used for business decision-making and predictive modeling. This role operates within high-volume data environments integrating PostgreSQL, Azure Cosmos DB, and a modern Data Lakehouse architecture.

Requirements

• 5+ years of relevant data engineering experience.
• A Bachelor’s degree in a related field.
• Expert-level SQL and advanced experience with PostgreSQL schema design and query optimization.
• Deep proficiency in dbt for developing and managing modular, documented ETL and ELT pipelines.
• Advanced Python skills, including experience with pandas and polars for high-performance data manipulation.
• Hands-on experience with Azure Event Hub or Event Grid subscriptions and Azure Cosmos DB for streaming data storage.
• Experience managing Data Lake environments using Apache Iceberg table formats.
• Proficiency with Trino for federated SQL queries across disparate data sources.
• Experience with Git and modern source code management practices.
• Strong understanding of data management systems, data warehousing, and data modeling concepts.
• Ability to communicate effectively with both technical and non-technical stakeholders.

Nice To Haves

• Familiarity with Docker and Kubernetes for orchestrating data workloads and microservices.
• Experience supporting Machine Learning teams through the Azure Machine Learning Platform.
• Familiarity with R, Scala, or other scripting languages for automation.
• Experience with data governance tools for cataloging and lineage tracking.

Responsibilities

• Design, implement, and optimize ETL and ELT pipelines using dbt to extract, transform, and load data into the data warehouse.
• Build, evolve, and maintain infrastructure for optimal data transformation and integration using Azure Event Hub or Event Grid, PostgreSQL, and Azure Cosmos DB.
• Manage and monitor complex data processing and storage infrastructure, including Data Lakes leveraging Apache Iceberg table formats.
• Perform advanced manipulation and analysis of large datasets using Trino for distributed SQL querying across diverse data sources.
• Utilize Python for high-performance data manipulation, scripting, and process automation.
• Containerize and orchestrate data workloads using Docker and Kubernetes to ensure scalability and reliability.
• Develop architectural frameworks and tools that enable Data Science teams to build, train, and scale machine learning models on the Azure Machine Learning Platform.
• Automate and optimize data processes while implementing robust logging and monitoring practices.
• Partner strategically with Analytics and cross-functional teams to deliver scalable data solutions within agreed timelines.
• Monitor, troubleshoot, and remediate complex data quality issues, including database schema modifications.
• Support data governance initiatives, including cataloging and lineage tracking.
• Collaborate with senior engineers to design data models, develop summarized datasets, and build data APIs with minimal guidance.
• Coach and mentor junior engineers on complex technical challenges.
• Write scripts and queries to support ad hoc data analysis.
• Perform other duties as assigned.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level