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Qurate Retail Group

Data Engineer - Social Commerce

Qurate Retail Group, New York, New York, us, 10261

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Overview Thank you for your interest in joining our team! QVC Group, Inc. is a Fortune 500 company with six leading retail brands – QVC®, HSN®, Ballard Designs®, Frontgate®, Garnet Hill® and Grandin Road®. We are a live social shopping company that redefines the shopping experience through video-driven commerce on every screen, from smartphones and tablets to laptops and TVs. QVC Group brings innovative products, compelling content, and unforgettable moments to millions of shoppers worldwide via social platforms, streaming apps, ecommerce sites and TV channels, making every screen a doorway to discovery, delight and community.

The Opportunity As a Data Engineer, you will work with a versatile Agile team to build high-quality data pipelines driving analytic solutions and models, with the purpose of exposing these models and analytics as APIs and dashboards. Solutions derived from this work will produce insights, allowing us to promote data-driven decision-making and add personalization capabilities to our applications. Not only will you work on the back-end data structures and models (building and delivering ETL pipelines), but you\'ll also influence how those models are surfaced through APIs and data design.

Your Impact

Design and maintain data architecture, models, APIs, and pipelines aligned with data architecture principles and team goals

Solve complex data challenges to deliver insights that drive outcomes

Create data products for analytics and data science teams to improve their productivity and insights

Lead the evaluation, implementation, and deployment of new tools and processes for analytic data engineering

Develop and deliver plans on analytic data engineering capabilities and standards

Partner with product teams and solution architects to develop scalable, reliable technical architectures

Mentor peers through code reviews, collaboration, and technical coaching

Explore and learn about machine learning, data science, AI, and personalization technologies to continuously evolve our approach

What You Bring

Bachelor\'s degree in Computer Science or related field, or equivalent experience

4+ years of software development and design experience with emphasis on data warehousing, ETL, and database design

Experience developing data engineering processes and SQL proficiency

Experience using Azure tools (Databricks, Data Factory, Delta Lake, Synapse, ADLS, PySpark, SQL Server, Databricks Notebooks)

Experience transforming, cleansing, and ensuring quality of large-scale data sets

Understanding of modern data architecture, application landscapes, and CI/CD automation tools such as Azure DevOps

Experience in data warehouse design techniques (slow changing dimensions, partitioning, indexing) and applying AI-driven personalization models

Familiarity with Agile (Scrum), distributed systems, and 24×7 production environments

Understanding of compliance, regulations, and data governance in tech environments

Remote work is not permitted in NYC at this time.

Salary: $93,000.00 - $167,000.00

Total Rewards

package includes benefits you’ll love such as competitive compensation, paid time off, an employee assistance program, parental leave, paid volunteer hours, and amazing company discounts! In our US market, you can also expect health care benefits starting on day 1, 401(k), and tuition reimbursement benefits.

QVC Group is committed to inclusion and belonging for all and ensuring that our workplace provides equal employment opportunities for all team members and candidates and complies with all applicable federal, state, and local laws and regulations. As an equal opportunity employer, QVC Group is committed to a barrier-free employment process. If you need reasonable accommodations/support throughout, please contact us at workwithus@qvcgrp.com for assistance.

If provided, salary ranges are a general guideline only, and actual salaries will vary and are based on factors such as a candidate\'s qualifications, skills, experience, and geographic location as well as business and market conditions.

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