Senior Staff Data Engineer — Azure Platform Leader, PTO & 401k

RBGlobal; Oregon; Hybrid; USD 150,000 - 190,000; Full time

Benefits offered by this job

Medical Insurance

401k Match

PTO 15 days

Job summary

RB Global, in partnership with IAA, seeks a Senior Staff Data Engineer to lead architecture and delivery of critical data platforms on the Azure stack. You will own end‑to‑end data pipelines, collaborate with engineering and product teams, and drive standards for scalability and reliability.

You will mentor engineers, influence data architecture decisions, and partner closely with data scientists and BI teams to enable analytics, forecasting, and ML workflows.

Qualifications

• Extensive hands-on experience as a senior or staff‑level data engineer.
• Deep expertise across the Azure BI/data technology stack including Microsoft Fabric, Azure Synapse Analytics, Power BI and related services.
• Strong proficiency in Python and SQL with solid software engineering fundamentals.
• Ability to solve ambiguous, complex problems through robust design and pragmatic execution.

Responsibilities

• Design and build major data systems, pipelines, frameworks, and reusable components, owning architecture within your area.
• Deliver complex, high‑impact data engineering work on Azure data and analytics stack: ingestion, transformation, storage, semantic modeling, data delivery.
• Refine engineering standards and patterns for code quality, performance, scalability, observability, and governance.

Skills

Senior Data Engineer

Azure Synapse Analytics

Power BI semantic modeling

Python

SQL

Mentoring

Communication

Tools

Microsoft Fabric

Power BI

Azure Data services

Job description

RB Global, in partnership with IAA, seeks a Senior Staff Data Engineer to lead architecture and delivery of critical data platforms on the Azure stack. You will own end‑to‑end data pipelines, collaborate with engineering and product teams, and drive standards for scalability and reliability.

You will mentor engineers, influence data architecture decisions, and partner closely with data scientists and BI teams to enable analytics, forecasting, and ML workflows.