Senior / Staff Data Engineer

About the role

About us

Revv is on a mission to revolutionize the global auto repair industry and shape the future of safer, smarter roads. In August 2026, Revv merged with AirPro Diagnostics, a premier provider of remote automotive diagnostics and ADAS calibration solutions, bringing together two industry leaders to create a comprehensive, end-to-end ADAS platform. The combination pairs Revv’s AI-powered software and proprietary automotive knowledge graph with AirPro’s diagnostic expertise, hardware, calibration technology, and nationwide service capabilities.

With the combined scale, technology, and industry expertise of Revv and AirPro, we have an opportunity to define the next generation of automotive repair technology. Read more about the merger here https://airprodiagnostics.com/airpro-diagnostics-merges-with-revv-to-create-the-automotive-industrys-leading-end-to-end-adas-platform/!

Why this role matters

We've just combined two businesses, two clouds, and more than ten years of operating data. We believe the shared data across Revv and AirPro is one of the most strategically important assets. That data already powers customer-facing products, such as our AI that identifies which ADAS calibrations a vehicle needs, and it is the foundation for how we understand and run the business.

We're looking for a senior or staff-level data engineer who can walk into a complex, multi-cloud environment, make sense of it quickly, and chart a practical path forward. You'll have real ownership and not much hand-holding. We value momentum over perfection and clarity over cleverness.

What you'll do

- Assess and set the strategy. In your first months, map data needs across engineering, product, finance, sales, and operations, evaluate the current state of our infrastructure, and lay out a plan for a data platform that scales across AWS and Azure.

- Integrate two companies' data. Bring AirPro's production data (SQL Server on Azure) into our Snowflake data lake alongside Revv's existing AWS → Fivetran → dbt → Snowflake pipelines. We're considering Azure Synapse for this; you'll pressure-test that choice and own the architecture.

- Model data the business can trust. Build clean, tested, well-documented dbt models that our analytics team builds on in Power BI and Hex.

- Connect our business systems. Partner with finance and sales to integrate Salesforce and our ERP so revenue and operating metrics are consistent across the company.

- Define the foundations. Help establish how we handle data governance, quality, and ownership, including our SOC 2 and international data handling requirements.

- Turn data into an asset. As the integration matures, help shape how connected data across every customer touchpoint becomes new products and better experiences for the shops we serve.

Who you'll work with

You'll report to our Product Analytics Lead, with a dotted line to engineering leadership on the AirPro platform side. You'll partner daily with our analytics team and regularly with finance, sales, and product leadership.