Data Engineering Lead

Data Engineering Lead 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 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 careers@QXO.com if you have any questions related to this job posting.

Salary Range:

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