QXO, Inc. (NYSE: QXO) is the largest publicly traded distributor of roofing, waterproofing, and related products, and the second largest publicly traded distributor of lumber and building materials in North America. QXO is the fastest growing company in the $800 billion building products distribution industry and plans to become the tech-enabled leader by delivering best-in-class customer satisfaction and outsized returns for its shareholders. The company is targeting $50 billion in annual revenues within the next decade through accretive acquisitions and organic growth.

What you'll do:

We are looking for a Data Engineering Lead to design, build, and operate scalable, cloud‑native data platforms and data products on Google Cloud. This role combines hands‑on engineering with technical leadership, setting standards and guiding best practices while partnering closely with analytics, product, and business teams to deliver trusted, analytics‑ready data at scale.

You will play a key role in shaping data architecture, improving data quality and reliability, and enabling BI, analytics, and AI use cases across the organization.

Key Responsibilities

Design, build, and maintain batch and streaming data pipelines on GCP
Lead end‑to‑end data product engineering, from ingestion through transformation and consumption layers
Define and enforce data engineering standards, patterns, and best practices
Implement data quality, metadata, lineage, and observability as part of pipelines
Own orchestration, CI/CD, and release processes for data workloads
Partner with analytics, BI, ML, and business teams to deliver analytics‑ready datasets
Provide technical leadership and mentorship to data engineers across teams

What you'll bring:

Required:

Programming & Processing: Python, SQL, Apache Spark (PySpark)
GCP Data Stack: BigQuery, Google Cloud Storage (GCS), Dataflow, Pub/Sub, Cloud Composer (Airflow)
Data Modeling & Analytics Engineering: dbt, analytics‑ready and semantic data modeling
Metadata, Lineage & Quality: OpenMetadata, OpenLineage, data quality testing, data observability
DevOps & Platform Practices: Git, CI/CD for data pipelines, Infrastructure‑as‑Code (Terraform preferred), Docker fundamentals
Security & Governance: Data access controls, data contracts, schema enforcement, governance‑by‑design

Nice to Have:

Experience with real‑time / streaming architectures
Exposure to ML/AI data pipelines and feature engineering
API‑based and SaaS data integrations
Familiarity with BI tools (e.g., Looker)
Multi‑cloud or hybrid data environments

What you'll earn

Base pay range: $168,000 - $210,000
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, color, 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 [email protected] if you have any questions related to this job posting.

Salary Range:

USD $168,000.00 - USD $210,000.00 /Yr.