Senior Staff Data Engineer

RB Global; United States; Hybrid; USD 143,000 - 178,000; Full time

Benefits offered by this job

Medical Insurance

401k Match

PTO 15 days

Job summary

RB Global’s IAA division is seeking a Senior Staff Data Engineer to lead and deliver complex data systems on the Azure stack, working with engineers, data scientists, and business partners.

You will own major data pipelines, semantic models, and data products powering dashboards and ML workflows, while mentoring the team and shaping architecture across Fabric, Synapse, and Power BI.

Qualifications

• Extensive hands‑on experience as a senior or staff‑level data engineer.
• Deep expertise in the Azure BI / data stack including Fabric, Synapse, and Power BI.
• Strong Python and SQL with solid software engineering fundamentals (tests, version control, CI/CD).
• Ability to translate complex business problems into scalable data solutions.
• Excellent communication and mentoring skills.

Responsibilities

• Design and build major data systems, pipelines, and reusable components, owning architecture.
• Deliver complex data engineering work on Azure data stack for ingestion, transformation, storage, and modeling.
• Refine engineering standards and promote best practices across code quality, performance, and governance.
• Build pipelines and data products powering dashboards, analytics, and ML workflows.
• Mentor engineers and lead technical reviews to elevate the team.

Skills

Azure Synapse

Python

SQL

Data architecture

CI/CD

Mentoring

Communication

Big data pipelines

Data modeling

Power BI

Tools

Microsoft Fabric

Azure Synapse Analytics

Power BI

Semantic modeling

CI/CD tooling

Job description

RB Global (NYSE: RBA)

RB Global (NYSE: RBA) (TSX: RBA) is a leading, omnichannel marketplace that provides value-added insights, services and transaction solutions for buyers and sellers of commercial assets and vehicles worldwide. Through its auction sites in 13 countries and digital platform, RB Global serves customers in more than 170 countries across a variety of asset classes, including automotive, commercial transportation, construction, government surplus, lifting and material handling, energy, mining and agriculture.

The company’s marketplace brands include Ritchie Bros., the world’s largest auctioneer of commercial assets and vehicles offering online bidding, and IAA, a leading global digital marketplace connecting vehicle buyers and sellers. RB Global’s portfolio of brands also includes Rouse Services, which provides a complete end-to-end asset management, data-driven intelligence and performance benchmarking system; SmartEquip, an innovative technology platform that supports customers’ management of the equipment lifecycle and integrates parts procurement with both OEMs and dealers; Xcira, a leader in live simulcast auction technologies; and Veritread, an online marketplace for heavy haul transport.

RB Global full-time employees are offered medical, dental, vision, and basic life insurances. Employees are able to enroll in our company’s 401k plan and RB Global will match 100% for the first 4% contributed. Employees will also receive 15 days of PTO each year.

Job Description

About the Role

IAA is seeking a Senior Staff Data Engineer to be a senior individual contributor and technical leader within our data engineering function. This is a hands‑on, deeply technical role for an engineer who designs and builds complex, business‑critical components of IAA’s data platform, drives architectural decisions within their area, and raises the engineering bar across the team. The Senior Staff Data Engineer owns the design and delivery of major systems and data products, partners with the Director on platform‑wide architecture and standards, and leads execution on significant, often ambiguous initiatives. This person leads through technical depth, strong execution, and influence rather than headcount, acting as a multiplier for the engineers around them. This role partners closely with engineering leadership, data scientists, BI developers, platform/infrastructure teams, and business stakeholders across Operations, Sales, Marketing, and Product.

What You’ll Do

• Design and build major data systems, pipelines, frameworks, and reusable components, owning architecture within your area and contributing to platform‑wide design alongside the Director Data Engineering.
• Personally deliver complex, high‑impact data engineering work on IAA’s Azure data and analytics stack — ingestion, transformation, storage, semantic modeling, and data delivery.
• Apply and help refine engineering standards and patterns across code quality, performance, scalability, observability, and governance, and drive their adoption through example and code/design review.
• Build robust pipelines, semantic models, and data products that power dashboards, self‑service analytics, forecasting, and downstream machine learning systems.
• Build the production‑grade data pipelines and feature/data infrastructure that data scientists rely on to train, serve, and operationalize models.
• Diagnose and resolve difficult performance, reliability, and scalability challenges across BI and data workloads (e.g., Power BI, Synapse, Fabric).
• Contribute to technical strategy across Microsoft Fabric, Synapse, Power BI, and broader Azure BI technologies, helping evaluate new tools and inform build/buy decisions.
• Mentor data engineers and analytics engineers, conducting design reviews and helping elevate the technical capability of the team.
• Serve as a technical partner to engineering leadership on data architecture and technical tradeoffs within your scope.
• Translate complex business problems into practical, scalable, and well‑architected data solutions.

What We’re Looking For

• Extensive hands‑on experience as a senior or staff‑level data engineer, with a track record of designing and delivering production data systems at scale.
• Deep expertise across the Azure BI / data technology stack, including: Microsoft Fabric Azure Synapse Analytics Power BI and semantic modeling Broader Azure data and analytics services
• Strong command of data engineering architecture, modern analytics platforms, dimensional and semantic modeling, and scalable, fault‑tolerant pipelines.
• Expert‑level proficiency in Python and SQL, with strong software engineering fundamentals (testing, version control, CI/CD, modular design).
• Working understanding of how data scientists consume data, enough to build the pipelines and feature/data infrastructure that support model training and serving.
• Demonstrated ability to solve ambiguous, complex problems through robust technical design and pragmatic execution.
• Strong mentoring and influence skills — able to elevate engineering practices and lead technically within a team.
• Excellent communication skills; able to explain complex technical concepts and tradeoffs to both technical and non‑technical partners across Ops, Business, Sales, Marketing, Product, and Engineering.
• Ability to thrive in a fast‑paced, high‑visibility environment with multiple priorities and stakeholders.

Preferred Experience

• Experience building data platforms supporting enterprise use cases across operations, commercial functions, and product‑driven organizations.
• Experience spanning both BI modernization and data platform enablement for analytics and ML within the same platform.
• Familiarity with cloud‑native engineering practices, infrastructure‑as‑code, and secure, scalable data environments.
• Experience contributing to platform‑wide standards and reference architectures used across multiple teams.
• Experience building data pipelines that support RAG, LLM, or modern AI workloads on enterprise data.

Why This Role Matters

The Senior Staff Data Engineer is a key technical leader within IAA’s data engineering organization. This person builds and scales the systems that enable better decisions, improved business performance, operational efficiencies, and a durable competitive advantage. Through hands‑on engineering, strong design, and influence, this role directly impacts both technical direction and business outcomes across the organization.

Job Info

• Job Identification 10282
• Posting Date 10/06/2026, 11:56 PM
• Locations 2 Westbrook Corporate Ctr, Westchester, IL, 60154, US (Remote)
• Degree Level No Formal Education
• Job Schedule Full time
• Minimum Salary $142,530
• Maximum Salary $178,110