Staff Data Engineer at QXO

Greenwich, Connecticut, United States -

Full Time

Start Date

Immediate

Expiry Date

04 May, 26

Salary

275000.0

Posted On

03 Feb, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Big Data Technologies, Cloud Architecture, Data Pipeline Optimization, ETL Pipelines, AI Integration, Data Governance, Data Quality, Real-Time Streaming Solutions, Batch Processing, Data Modeling, Automation, CI/CD Pipelines, Data Catalogs, Machine Learning, Data Science

Industry

Wholesale Building Materials

Description

We’re looking for bold, entrepreneurial talent ready to help build something extraordinary — and reshape the future of building products distribution. QXO is a publicly traded company founded by Brad Jacobs with the goal of building the market-leading company in the building products distribution industry. On April 30, 2025, QXO completed its first acquisition: Beacon Building Products, a leading distributor in the sector. We are building a customer-focused, tech-enabled, and innovation-driven business that will scale rapidly through accretive M&A, organic growth, and greenfield expansion. Our strategy is rooted in delivering exceptional customer experiences, improving operational efficiency, and leveraging data, digital tools, and AI to modernize a historically under-digitized industry. We are seeking a highly experienced staff data engineer to design and implement a modern data engineering stack that enables scalable, efficient, and high-performance data processing. The ideal candidate will be responsible for creating and optimizing scalable data structures for both structured and unstructured data derived from our acquired businesses. This role is critical in supporting machine learning and AI applications, ensuring a robust, well-architected, and optimized data infrastructure that powers data science and AI teams to develop high-performing models. As a technical leader, the principal data engineer will architect and build large-scale data systems that efficiently process massive datasets for AI-driven applications. This role requires deep expertise in big data technologies, distributed systems, cloud architecture, and data pipeline optimization. The ideal candidate will drive the design, development, and implementation of next-generation data solutions that enable seamless AI model training, inference, and real-time data processing at scale. What you'll do: • Use AI to develop highly scalable and automatable ETL (Extract, Transform, Load) pipelines to handle large volumes of data from diverse sources efficiently. • Leverage modern cloud-based solutions (AWS, Azure, GCP) and big data technologies (Spark, Hadoop, Snowflake, Databricks) to enhance data processing and storage. • Develop efficient data models while ensuring proper governance, data quality, security, and compliance with industry standards to support business forecasting, optimization, and simulations. • Architect and implement real-time streaming solutions and batch processing frameworks for AI model development. • Work closely with data scientists, AI researchers, software engineers, and business stakeholders to translate requirements into scalable data solutions. • Continuously monitor and optimize data infrastructure for cost-efficiency, scalability, and performance improvements. • Implement automation and CI/CD pipelines for data engineering workflows to improve deployment efficiency and reliability. • Establish best practices for data engineering, including testing methodologies, deployment procedures, and documentation standards. • Create and maintain data catalogs and metadata management systems to ensure data discoverability and understanding across the organization. • Partner with scientists to create self-service data science tooling and leverage Agentic AI to integrate multiple models into a unified platform for business managers and analysts. Coach and train business analysts to use AI models and data science tooling effectively. • Design and implement data engineering solutions hands-on using AI, leading a high-caliber internal team of employees and contractors. • Define work for external partners/vendors and act as a product manager as needed. • Engage with scientists to understand the data needs of models and iterate rapidly on data requirements. • Work closely with scientists to determine the necessary data inputs for models and ensure their seamless integration. • Determine how downstream systems will consume AI models and outputs while collaborating with scientists (or vendors) to deploy models in production at scale. • Partner with application engineers to integrate AI model outputs into engineering systems efficiently. • Prioritize the value of data and AI solutions by working closely with business operations teams. • Build scalable, high-performance data systems and architect enterprise-wide solutions. • Design and implement machine learning and AI pipelines, ensuring optimal data acquisition, wrangling, and structuring using AI-driven techniques. What you'll earn 401(k) with employer match Annual performance bonus, long term incentive (equity) Medical, dental, and vision insurance PTO, company holidays, and parental leave Paid Time Off/Paid Sick Leave: Applicants can expect to accrue 15 days of paid time off during their first year (4.62 hours for every 80 hours worked) and increased accruals after five years of service. Paid training and certifications Legal assistance and identity protection Pet insurance Employee assistance program (EAP) QXO is an Equal Opportunity Employer. We value diversity and do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, or any other protected status. Salary Range: USD $160,000.00 - USD $275,000.00 /Yr.

Responsibilities

The Staff Data Engineer will design and implement a modern data engineering stack to enable scalable data processing. This role involves creating scalable data structures and optimizing data infrastructure to support machine learning and AI applications.