URBN Staff Data Engineer

URBN is hiring a Staff Data Engineer to join the development of AI-powered digital experiences. We are looking for an experienced data Engineer to join our mission of integrating algorithmic solutions with creative tools. In this unique opportunity, you will use your full-stack engineering skills to implement middleware experiences and cutting-edge algorithms into our rapidly evolving products across our digital ecosystem. You will collaborate with a talented cross-functional team comprising UX designers, data scientists, product managers, and domain experts to deliver significant business impact.

Role Responsibilities

• Collaborate with cross-functional teams to integrate AI solutions into digital products and workflows, partnering with engineers to translate prototypes into scalable features and services.
• Guide data exploration and feature engineering to support high-performing models.
• Analyze large-scale data sets to generate actionable insights and recommendations.
• Lead the technical evaluation of external AI/ML tools and vendors, influencing decisions for the technology stack.
• Conduct exploratory proof-of-concept studies to assess potential deployment architectures and evaluate new data engineering technologies.
• Propose, promote, and facilitate paved paths for algorithm integration and productization, laying foundations for feedback loops and data flywheels.
• Identify and execute opportunities to create leverage for scaling algorithm impact, managing algorithm dependencies, and expanding algorithm distribution.s
• Collaborate with the team to implement and maintain the ML architecture, including data pipelines and applications that enable training and inference of ML models in production.
• Identify and execute opportunities to scale algorithm impact, manage algorithm dependencies, and expand algorithm distribution.
• Contribute to end-to-end algorithm projects across different domains
• Collaborate with the team to implement and maintain automated monitoring of deployed models to assess their performance, uptime, etc
• Foster strong cross-functional partnerships
• Champion best practices in full-stack algorithm engineering

Role Qualifications

• Strong coding skills and software development experience. Proficiency in Python is required.
• Strong SQL skills - ability to both read and construct complex queries; ability to test complex queries for correctness
• Analytics skills - ability to understand requirements and translate them into solutions; ability to express the meaningful inputs and outputs, and foresee the nuances that make something more complicated than it appears
• Familiarity with dbt - ability to decompose a problem into data models, understanding of key concepts such as building models, data tests, macros, exposures and environments
• Proficiency in Airflow - ability to construct a DAG, understanding of how to divide tasks, ability to unit test and manually test DAGs to demonstrate they work.
• Experience with Cloud platforms (Google Cloud Platform, Amazon Web Services, Microsoft Azure, etc.).
• Proven track record of delivering high-impact, algorithm-driven software systems and solutions.
• Experience deploying machine learning models in production.
• Hands-on experience with large-scale data processing, data engineering, and automation.
• Excellent communicator. Comfortable with ambiguity; able to take ownership and thrive with minimal oversight and process.

The Perks

URBN offers comprehensive Perks & Benefits to employees. Availability and eligibility to specific benefits may be subject to your location and employment status. Benefits include medical, dental, vision, PTO, generous employee discounts, retirement savings and much more! For additional information visit www.urbn.com/work-with-us/benefits

EEO Statement

URBN celebrates diversity and is committed to creating an inclusive environment for all employees. We are proud to provide equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, sex (including gender, pregnancy, sexual orientation, and gender identity or expression), religion, creed, age, physical or mental disability, national origin or ancestry, ethnicity, citizenship, service in the uniformed services, genetic information, or any other protected characteristic as established by law. We believe strongly in fostering a safe, fair and respectful work environment. To ensure compliance with our non-discrimination and anti-harassment policies, we offer anti-harassment training to managers and employees.