Sr. Data Engineer

About RugsUSA

Since launching in 1998, Rugs USA has established itself as a leading innovative online destination for an extensive variety of high-quality, on-trend area rugs at prices customers won’t find anywhere else. Passionate about the impact that the perfect rug brings to a space, we foster close relationships with the designers, artisans, and factories who make our goods, giving us the ability to simplify our business model and deliver exceptional pricing and a vast assortment of styles. By guiding our customers through the rug buying process and offering a curated selection of complementary lighting and accessories, we’ve become our customers’ ultimate secret weapon in bringing their vision of home to life - at any budget. 

Position Overview

The Senior Data Engineer designs, builds, and supports RugsUSA's enterprise data warehouse and business intelligence platform. Working closely with business stakeholders and cross-functional teams, this role develops scalable data models and pipelines that support dashboards using the Fivetran, Snowflake, dbt, and Sigma stack to deliver reliable, high-quality data and actionable insights. The role also supports ongoing platform performance, data quality, and self-service analytics across the organization.

This is a hybrid role requiring on-site presence in our Manhattan office 3 to 4 days per week.

Essential Job Functions

Assist External Implementation Partner to stand up data warehouse and business intelligence tools

• As part of a results-oriented internal team, supported by an external partner, assist with the implementation, maintenance, and support of our Fivetran > Snowflake > dbt > Sigma data warehouse stack to enable the business to make informed decisions.
• · Interact with internal stakeholders to gather/develop functional and technical requirements and translate them into reporting solutions.
• · Provide quality and performant data modeling solutions to RugsUSA cross-functional business units.
• · Work collaboratively with Enterprise Data Analysts, Data Governance Team to help define, develop and implement solutions and provide services for the enterprise data warehouse.
• · Model, design, develop, test and implement the appropriate backend structures needed to meet business visualization and reporting requirements, as defined by the business users.
• · Build aggregate data models. Manage the data flow to be used in dashboards to meet business requirements.
• · Work on data transformation using the ELT tools. Build dimension views and fact tables.
• · Data formatting and processing to build the foundation layer for dashboards and self-service reporting.
• · Manage the steady state data warehouse and BI output.
• · Responsible for requirements gathering and data transformation coding.
• · Troubleshoot data anomalies with key stakeholders.
• · Responsible for daily support of the data warehouse and associated data marts.
• · Coordinate key stakeholders to align with change management processes and to ensure performance, processes, and access are optimal for reporting solutions.
• · Work collaboratively to align business requirements with reporting and analytical solutions.
• · Improve processes regarding data flow and quality to improve data accuracy, viability, and value.
• · Document development for peer reference and knowledge transfer.

You Have

Bachelor’s degree in computer science, Computer Engineering, Information Systems or related technical field, followed by a minimum of 2 years of progressively responsible experience in a Software Engineering role (e.g., Project Lead, Senior Software Engineer, Software Engineer, etc.). 

• Experience developing and supporting the Snowflake, Fivetran, and dbt platform stack to ensure performance, process, and access are optimal for the global reporting solution.
• Experience with dbt as a data modeling tool.
• Experience with Snowflake Data Warehouse and Medallion Star Schema’s data modeling.
• Experience in technical design of data modeling for Snowflake to support the ongoing Business requirements formulation process for Enterprise Business Analytics operations.
• Experience supporting data analytics, reporting, or business intelligence functions within the retail or e-commerce industry is preferred but not required.
• Experience with data governance practices, including data quality standards, access controls, and metadata management within a Snowflake environment.
• Experience building and maintaining semantic layers with Snowflake (e.g., dbt semantic layer, Snowflake views) to enable consistent, governed self-service reporting.
• You have been using AI Coding to accelerate your Data Engineering Workflows and business with AI enabled solutions via Snowflake, Claude Enterprise or AWS Agents
• Demonstrated knowledge of the following:
• Snowflake Data warehouse architecture, including dimensional modeling, ELT design, and Snowflake-based cloud data platforms.
• Fivetran data integration replication for data ingestion.
• SQL and strong data transformation.

Preferred Skills

The ideal candidate is a hands-on data builder with strong SQL, Snowflake, dbt, and Fivetran expertise, able to turn business needs into clean, scalable data models, reliable pipelines, and sharp self-service dashboards. They bring a strong grasp of data warehouse architecture, governance, quality, and performance, paired with the communication skills to partner with stakeholders, troubleshoot issues quickly, and assist in delivering trusted insights that help the business move faster. 

Your Life and Career at RugsUSA

• A culture that promotes a healthy work/life balance 
• Benefits package offered to all eligible full-time employees (including medical, dental, vision, PTO, 401(k) 
• Exposure to career advancement opportunities across all departments 
• Generous employee discount that can be used across our house of brands!

Work Authorization 

Applicants must be legally authorized to work in the United States.

Equal Employment Opportunity 

RugsUSA, LLC is an equal opportunity employer following applicable federal, state, and/or local laws.