Senior / Staff Data Engineer

Job not on LinkedIn

🔥 2 minutes ago

🇺🇸 United States – Remote

💵 $170k - $190k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

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Revv

WebsiteLinkedInAll Job Openings

11 - 50 employees

🚘 Automotive

☁️ SaaS

💰 Series A on 2024-02

Automotive • Software • SaaS

Revv is an AI-powered ADAS calibration software designed to assist collision and mechanical shops in accurately identifying OEM calibration requirements in real-time. The platform offers integration with major estimating systems and provides OEM documentation to streamline the calibration process, thereby enhancing profitability and efficiency for repair shops. Revv is trusted by numerous automotive service providers across North America for its innovative approach to managing advanced safety systems.

📋 Description

• Map data needs across engineering, product, finance, sales, and operations • Evaluate current infrastructure and define a scalable data platform strategy across AWS and Azure • Integrate AirPro production data from SQL Server on Azure into Revv’s Snowflake data lake • Pressure-test and own the architecture, potentially involving Azure Synapse • Build clean, tested, and documented dbt models for Power BI and Hex • Integrate Salesforce and ERP data to standardize revenue and operating metrics • Establish data governance, quality, ownership, SOC 2, and international data handling practices • Help turn connected data into customer-facing products and improved experiences • Partner with analytics, finance, sales, product leadership, and engineering leadership • Report to the Head of Product Analytics with a dotted line to AirPro platform engineering leadership

🎯 Requirements

• Typically 6+ years in data engineering, including ownership of platform-level design decisions • Deep, hands-on production experience with Snowflake and dbt • Strong Python and SQL • Working familiarity with the Azure data ecosystem, including SQL Server, Data Factory, Synapse, or similar • Sound architectural judgment across ingestion, orchestration, and modeling • Comfort with ambiguity and making progress without perfect information • Ability to document models, decisions, and strategy clearly • Experience partnering across functions and translating business questions into data requirements • Experience at a SaaS or software company • Legally authorized to work in the US • No automotive or insurance background required

🏖️ Benefits

• Remote work • Flexible collaboration across adjacent time zones • Occasional team onsites/travel