Senior Data Engineer

URBN (Urban Outfitters, Anthropologie Group, Free People & Nuuly)

Senior Data Engineer at URBN modernizing data pipelines during a pivotal phase of modernization. Bridging the gap between established data foundations and the future of AI-augmented engineering.

Posted 5/19/2026full-timePhiladelphia • Pennsylvania • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

AirflowBigQueryCloudGoogle Cloud PlatformSQL

About the role

Key responsibilities & impact

Lead the technical refactoring of legacy data pipelines into modern, cloud-native pipelines within Snowflake and Google BigQuery
Establish and champion best practices for source control (Git), branching strategies, and CI/CD patterns within the Data Engineering team
Design and implement robust data pipelines for merchandising, web analytics, multi-touch attribution (MTA), and customer journey mapping
Participate in a rotating on-call schedule to provide support for EDW Data Engineering owned assets and processes
Leverage AI coding assistants to accelerate development, documentation, and the refactoring of legacy codebases
Implement advanced Snowflake telemetry and data quality management functions to ensure pipeline reliability and proactive error detection
Partner with Senior Engineers to implement 'Modeling-as-Code'
Navigate complex integrations across a diverse source landscape
Work closely with our offshore engineering partners to provide technical guidance

Requirements

What you’ll need

At least 6-8 years of experience in data engineering
Proven track record of modernizing data pipelines in cloud environments (Snowflake or BigQuery)
Proficiency in modern version control (Git) and CI/CD workflows
Familiarity with DAG-based tools (Airflow, Dagster, etc.) is a plus
Expert-level SQL skills with the ability to write modular, performant code
Experience with modular SQL transformation pattern is highly preferred
Previous experience with retail or e-commerce data models, specifically in web analytics pipelines and attribution logic
Deep hands-on experience with Snowflake (including telemetry and administrative functions) and/or Google Cloud Platform (BigQuery)
Comfortable using AI assistants to optimize workflows and generate boilerplate code
Ability to explain complex technical migrations to stakeholders and collaborate effectively in a 'team sport' modeling environment.

Benefits

Comp & perks

medical
dental
vision
PTO
generous employee discounts
retirement savings and much more!

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data engineeringcloud-native pipelinesSnowflakeGoogle BigQueryGitCI/CDSQLmodular SQL transformationDAG-based toolsdata quality management

Soft Skills

technical guidancecollaborationcommunicationproblem-solvingstakeholder engagementteamworkleadershipmentorshipadaptabilitysupport