Staff Software Engineer, Data

QXO is a leading distributor and installer of building products serving an $800 billion market. The companys mission is to modernize the building products industry through advanced technology and a best-in-class customer experience. QXO is North Americas largest distributor and installer of insulation the second-largest distributor of roofing products the second-largest publicly traded distributor of lumber and building materials and the largest distributor of waterproofing products. The company is targeting $50 billion in annual revenue within the decade through accretive acquisitions and organic growth. For more information visit .

We are seeking a highly experienced principal software engineer data 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.

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.

Key Responsibilities

• Take ownership of team data architecture including data warehouse design providing system-wide design guidance and ensuring data is auditable available and accessible.
• Design and deploy large-scale data solutions including data warehouse implementations in ambiguous problem areas with significant impact on data quality availability or business value.
• Lead logical and physical data model design for data warehouse and data lakes optimizing query performance storage efficiency and data integrity.
• Anticipate data access patterns and proactively remove bottlenecks ensuring smooth data flow from operational sources to data warehouse and analytical endpoints.Drive data engineering best practices including Data Discovery Naming Conventions Data Quality frameworks Operational Excellence and Security standards.
• Make architectural trade-offs between short-term technology needs and long-term business needs (build vs. buy storage strategies data warehouse vs. data lake technologies).Lead design reviews for team solutions and related software systems bringing clarity to complexity and fostering shared understanding.
• Build consensus across discordant views and resolve root causes of endemic problems including those that unblock innovation of related teams.
• Mentor and develop engineers improving their technical skills and understanding of data engineering best practices.
• Provide technical assessments for promotion candidates and participate in hiring processes.
• Develop efficient data models and ensure governance quality security and compliance.
• Continuously optimize infrastructure for cost scalability and performance; implement CI/CD and automation for data workflows.
• Establish data engineering best practices including testing deployment documentation and metadata management.
• Build tools and frameworks to streamline data transformation and accelerate AIdriven decisionmaking; evaluate emerging technologies.
• Ensure performant systems through smart storage caching and streaming design choices.

Qualifications & Skills

• Bachelors or Masters degree in Computer Science Engineering or a related field.
• 7 years of data engineering experience building data infrastructure data warehouses pipelines and analytics solutions at scale.
• Proven track record delivering large data solutions (data warehouse implementations data models architectures data flows) in difficult or ambiguous problem areas.
• Deep proficiency in SQL and at least one programming language (Python R) for data processing and orchestration.
• Strong understanding of distributed systems (MapReduce MPP architectures NoSQL databases).
• Demonstrated ability to design logical and physical data models with expertise in data warehouse optimization techniques (partitioning distribution indexing).
• Experience with data persistence technologies including modern data warehouses and integration patterns (ETL streaming federation).
• Track record of taking ownership of data architecture and driving simplification.
• Strong ability to communicate technical ideas build consensus and influence technical strategy.

Preferred Qualifications

• Bachelors degree in computer science Computer Engineering or related technical field.
• Experience with GCP data services (BigQuery Cloud Storage Dataflow Dataproc Pub/Sub) and infrastructure-as-code.
• Experience with modern data warehouse platforms (BigQuery Snowflake Redshift) data warehouse design patterns and data modeling/ETL tools (e.g. DBT).
• Technical leadership experience influencing 1-2 teams through collaborative development or driving best practices.
• Experience with data lakehouse architectures data governance lineage tracking and quality frameworks.
• Proven mentorship track record with the ability to develop technical talent.
• Contributions to the technical community through patents publications or open-source work.

• Base pay range: $175000 - $400000
• Annual performance bonus
• Long term incentive (equity/stock)
• 401(k) with employer match
• 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 discriminateon the basis ofrace color religion sex national origin age disability or any other protected status.

To comply withPayTransparencylaws employers mustdisclosean annual salary range. Actual offers depend on factors such as location experience skills and market data. This position may also offer variable compensation.

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