Data Engineer

Data Engineer

G-III Apparel Group

Department: Data & Analytics

Reporting To: VP Data Insights

Location (On-Site): New York, NY - Fashion District

About G-III Apparel Group, Ltd. | Apparel Group is a global leader in design, sourcing, manufacturing, distribution, and marketing. We bring excitement and confidence to customers through the fashion we create. With more than 30 owned and licensed brands, including some of the most recognized names in global fashion, our success is driven by entrepreneurial thinking, operational excellence, and strong industry partnerships.

Position Summary

The Data Engineer is responsible for building and maintaining the data infrastructure that supports analytics, reporting, and operational decision-making across the organization. Reporting to the VP of Data Insights, this role develops scalable data pipelines and reliable datasets used by internal teams, business partners, and analytics platforms. The Data Engineer will work closely with data scientists, engineers, and business stakeholders to ensure high-quality, accessible data that supports the company’s broader data and analytics strategy.

Key Responsibilities

• Design, build and maintain scalable ETL/ELT pipelines to ingest, transform, and deliver data across enterprise systems
• Prepare, cleanse, and structure large datasets to support analytical modeling, reporting, and operational decision-making
• Implement data quality frameworks, validation rules, and monitoring systems to ensure data integrity and accuracy
• Partner with data scientists and analytics teams to support feature engineering and data preparation for quantitative analysis
• Work with engineering teams to implement automated anomaly detection and data monitoring solutions
• Serve as a subject-matter expert on internal datasets, including definitions, lineage, and quality standards
• Collaborate with product owners, business stakeholders, and systems teams to deliver reliable data products and services
• Design and maintain data models, data warehouses, and modern data architectures such as data lakes and data marts
• Contribute to the development of data governance standards, data documentation, and metadata management practices
• Support continuous improvement of the data platform through automation, testing, and performance optimization
• Ensure timely and reliable data delivery to support operational and strategic business needs

Qualifications

Required:

• Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or equivalent practical experience
• 3+ years of experience in data engineering or a similar data infrastructure role
• Strong proficiency in SQL and experience working with large relational datasets
• Programming experience in Python (including data processing libraries such as PySpark)
• Experience designing and implementing ETL/ELT pipelines and data integration workflows
• Experience with modern cloud platforms such as AWS, Azure, or GCP
• Working knowledge of data warehousing concepts, including data lakes, operational data stores, and dimensional modeling
• Familiarity with modern data orchestration and transformation tools (e.g., Airflow, Databricks, Data Factory, or similar)
• Understanding of data modeling, data governance, and data quality best practices
• Experience working in collaborative engineering environments using Git, CI/CD pipelines, and automated testing frameworks
• Strong analytical and problem-solving skills with the ability to communicate technical concepts clearly to both technical and non-technical audiences
• Ability to manage multiple priorities and deliver high-quality work in a fast-paced environment

Preferred:

• Experience building scalable pipelines using Spark or distributed processing frameworks
• Familiarity with Azure data services such as Azure Data Factory, Microsoft Fabric, Synapse or Databricks
• Exposure to streaming or real-time data architectures
• Experience implementing data quality frameworks and governance programs
• Familiarity with business intelligence tools such as Power BI
• Prior experience in retail, fashion, or consumer products industries
• Experience leveraging AI-assisted development tools (e.g., Copilot, GPT-based coding assistants) to improve engineering productivity
• Master’s degree in a related quantitative or technical field

What We Offer

• Competitive base salary and performance-based incentives
• Comprehensive medical, dental, and vision benefits
• 401(k) with company match
• Paid time off, holidays, and company-sponsored wellness benefits
• Employee discounts across G-III brands
• A collaborative, entrepreneurial work environment with career growth opportunities

Compensation

Salary Range: $120,000 – $135,000 base (commensurate with experience)

Please note that the foregoing compensation information is a good-faith assessment associated with this position only and is provided pursuant to the New York City Salary Transparency Law.

G-III’s owned brands include DKNY, Karl Lagerfeld Paris, Donna Karan, Vilebrequin, Sonia Rykiel, G.H. Bass, Bass Outdoor, Andrew Marc, Eliza J., G-III Sports and more. G-III holds licenses for Calvin Klein, Tommy Hilfiger, Cole Haan, Dockers, Guess?, Kenneth Cole, Levi’s, Vince Camuto, Margaritaville, and others. The company also operates retail stores for DKNY, Karl Lagerfeld Paris, and Donna Karan.