Data Engineering Lead

We’re looking for bold, entrepreneurial talent ready to help build something extraordinary — and reshape the future of building products distribution.

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.

• 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

• Programming & Processing:
  Python, SQL, Apache Spark (PySpark)
• GCP Data Stack:
  Big Query, Google Cloud Storage (GCS), Dataflow, Pub/Sub, Cloud Composer (Airflow)
• Data Modeling & Analytics Engineering: dbt, analytics-ready and semantic data modeling
• Metadata, Lineage & Quality:
  Open Metadata, Open Lineage, data quality testing, data observability
• Dev Ops & 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

• 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

• 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.

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