Data Analytics Engineer

Position Overview The Data Analytics 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, pipelines, and 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. Essential Job Functions Stand up data warehouse and business intelligence tools. Participate in the design, 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 and develop functional and technical requirements and translate them into reporting solutions. Provide quality and performant data modeling and visualization solutions to RugsUSA cross‑functional business units. Work collaboratively with Enterprise Data Analysts and the 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 and front‑end structures needed to meet business visualization and reporting requirements. Build dashboards as required to follow wireframe designs, integrate with backend data models, build aggregate data models, and manage the data flow to reflect in dashboards to meet business requirements. Work on data transformation using the ELT tools; build dimension views and fact tables. Follow development standards in accordance with U‑A best practices. Manage the steady‑state data warehouse and BI output. Responsible for the full life cycle of development, from requirements gathering through data transformation coding and report/dashboard design and creation. 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 is 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. Educate and empower the business community towards a self‑serve reporting model. Other duties as assigned within area of responsibility. You Have Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, or a 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). Experience developing and supporting the Snowflake, Sigma, Fivetran/dbt platform stack to ensure performance, process, and access is optimal for the global reporting solution. Experience with dbt as a data orchestration tool. Experience with Snowflake Virtual Warehouse (VWH) and data modeling. Experience working in a CI/CD framework for data warehousing and business intelligence. Experience in technical design of data modelling for Snowflake and Sigma to support the ongoing business requirements formulation process for enterprise business analytics operations. Experience designing and developing analytical queries, reports and visualisations utilizing the Sigma platform. Experience supporting data analytics, reporting, or business intelligence functions within the retail or e‑commerce industry is a nice to have. Experience with data governance practices, including data quality standards, access controls, and metadata management within a Snowflake environment. Experience building and maintaining semantic layers (e.g., Sigma workbooks/models, dbt metrics layer) to enable consistent, governed self‑service reporting. Demonstrated knowledge of: Fivetran HVR (High Volume Replication) enterprise data integration replication for data ingestion. Data warehouse architecture, including dimensional modelling, ELT design, and Snowflake‑based cloud data platforms. SQL and strong data transformation skills. Preferred Skills The ideal candidate is a hands‑on data builder with strong SQL, Snowflake, dbt, Fivetran, and Sigma expertise, able to turn messy 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 deliver 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. The pay range for this role is: 110,000 - 120,000 USD per year (Manhattan Office) #J-18808-Ljbffr