Staff Software Engineer, Data

QXO; Seattle (WA); On-site; USD 175,000 - 400,000; Full time

Benefits offered by this job

Annual performance bonus

401(k) with employer match

Medical, dental, and vision insurance

Paid Time Off/Paid Sick Leave

Paid training and certifications

Employee assistance program (EAP)

Job summary

A leading building products distribution company in Seattle is seeking a Principal Software Engineer to design and implement a robust data engineering stack. You will be responsible for optimizing scalable data structures and ensuring a well-architected infrastructure that supports machine learning applications. The ideal candidate will have over 7 years of experience in data engineering and proficiency in SQL and a programming language like Python. This role offers a competitive salary and comprehensive benefits.

Qualifications

• 7+ years of data engineering experience building data infrastructure and analytics solutions.
• Proven track record delivering large data solutions in difficult problem areas.
• Strong understanding of distributed systems and data warehouse optimisation techniques.

Responsibilities

• Design and implement modern data engineering stack for scalable data processing.
• Optimize data structures for both structured and unstructured data worlds.
• Architect and build large-scale data systems for AI-driven applications.

Skills

Data infrastructure building

SQL proficiency

Data architecture ownership

Communication skills

Education

Bachelor's or Master’s degree in Computer Science

Tools

GCP data services

SQL

Python

Data modeling/ETL tools

Job 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.

What You’ll Do

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 optimised 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 the 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 optimise 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 AI‑driven decision‑making; evaluate emerging technologies.
• Ensure performant systems through smart storage, caching, and streaming design choices.

What You’ll Bring

Qualifications & Skills

• Bachelor’s or Master’s 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 optimisation 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

• Bachelor’s 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 modelling/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.

What you’ll earn

• Base pay range: $175,000 - $400,000
• 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 discriminate on the basis of race, colour, religion, sex, national origin, age, disability, or any other protected status.

To comply with Pay Transparency laws, employers must disclose an annual salary range. Actual offers depend on factors such as location, experience, skills, and market data. This position may also offer variable compensation.

Please contact [e-mail] if you have any questions related to this job posting.

Salary Range

USD $175,000.00 - USD $400,000.00 / Yr.