Lead Data Engineer

Job not on LinkedIn

🔥 0 minutes ago

🌵 Arizona – Remote

🌵 Arizona – Remote

💵 $131.7k - $161.3k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Fullbay

WebsiteLinkedInAll Job Openings

51 - 200 employees

☁️ SaaS

🏢 Enterprise

🚗 Transport

💰 Venture Round on 2019-05

SaaS • Enterprise • Transport

Fullbay is a comprehensive software solution designed specifically for diesel repair shops and other heavy-duty repair operations. The company offers a range of tools to streamline various aspects of shop management, including estimates and invoices, service order workflow, inventory management, and customer communication. Fullbay integrates with accounting systems for seamless bookkeeping and supports two-way texting between customers and shops. It also provides specialized repair software for fleet maintenance, mobile operations, and specific industries such as agricultural and emergency vehicles. With features like reporting, MOTOR integration for repairs, and secure cloud-based data, Fullbay aims to maximize shop efficiency and enhance profitability while contributing to safer roads.

📋 Description

• Own Fullbay's data platform end to end, including architecture, hands-on development, and company-wide data standards • Own certified metric and entity definitions and serve as final arbiter of cross-functional definitional disagreements • Keep documentation current so business users can find trusted answers without assistance • Build and extend the gold layer using SQL and transformation code in version control with automated tests • Own identity resolution across Classic, Next, and Salesforce, including crosswalk logic, survivorship rules, and platform-of-record determination • Own Snowflake role hierarchy, grants, row access and masking policies, warehouse sizing, cost attribution, and spend • Design curated access paths for AI agents, including per-agent identities and grants, registration patterns, and retention policies • Onboard new data sources, own schema drift and deletion detection, and partner with engineering on source schema changes • Scope and direct the retained architecture consultant's work, review deliverables, and reject nonconforming work • Provide guidance and office hours for business users and AI builders self-serving against the data platform • Adhere to confidentiality and compliance regulations • Perform other duties as assigned

🎯 Requirements

• 7+ years of data engineering experience, including demonstrated ownership of a production data platform, required • Deep dimensional modeling experience required: able to declare a grain, defend historization choices per attribute, and articulate a restatement policy • Experience with Snowflake (or a comparable cloud data warehouse) beyond SQL — warehouse strategy, cost management, RBAC, and environment design — required • Experience building transformations as version-controlled code with automated tests and CI required • Bachelor’s degree in computer science, data engineering, or a related field, or equivalent work experience • Experience with change data capture and incremental extraction from application databases required • Experience with entity resolution across systems with independent identifiers required • Strong written communication skills; able to arbitrate cross-functional definitional disagreements clearly and diplomatically • Nice to have: Experience serving AI or programmatic consumers of data, familiarity with the Salesforce object model, prior experience as a company’s first data hire, and prior experience directing outside vendors