Staff Data Engineer

Job not on LinkedIn

🔥 1 minute ago

🦬 Wyoming – Remote

🦬 Wyoming – Remote

⏰ Full Time

🔴 Lead

🚰 Data Engineer

👻 Ghost score 15%

What it means: the chance that no one is really hiring for this job.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.

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Venice.ai

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2024

🤖 Artificial Intelligence

☁️ SaaS

🔌 API

🔥 Funding within the last year

💰 $65M Series A on 2026-06

Artificial Intelligence • SaaS • API

Venice. ai is a privacy-focused AI platform that provides access to leading third-party and open-source models for generating text, images, video, audio, code, embeddings, and agents. The company emphasizes user privacy through anonymized access, zero data retention for self-hosted models, Trusted Execution Environments (TEEs), and client-side end-to-end encryption. Venice offers a unified API compatible with OpenAI and agent stacks, developer tools (SDKs, LangChain, OpenAI SDK compatibility), and products for creators and enterprises with tiered pricing plans. Its features include multimodal generation, image and video creation/editing/upscaling, text-to-speech and music generation, and support for uncensored models.

📋 Description

• Contribute to the architecture and technical foundation of Venice's data structure and usage • Understand existing databases, schemas, pipelines, and data dependencies • Design scalable, intuitive, and queryable data models and schemas • Connect, normalize, and represent data from different systems • Identify architectural gaps and drive improvements across the data stack • Establish accurate, complete, consistent, and explainable data systems • Build validation, reconciliation, testing, and monitoring into the data lifecycle • Eliminate conflicting definitions and duplicate sources of truth • Establish canonical datasets and definitions for financial reports and critical business metrics • Create clear data lineage • Improve query performance and reliability • Create intuitive schemas and documentation • Build or support semantic and metrics layers • Enable AI- and natural-language-based querying of company data • Establish permissions and access controls • Partner across Engineering, Product, Finance, Growth, and Operations • Contribute to standards and architectural decisions as an individual contributor with significant technical ownership

🎯 Requirements

• Significant experience designing and operating data systems at scale • Expert-level SQL and relational database knowledge • Strong PostgreSQL focus • Deep experience with data modeling, schema design, and database architecture • Strong understanding of data integrity, quality, lineage, observability, and governance • Experience establishing canonical datasets and company-wide metric definitions • Strong understanding of database performance, indexing, optimization, and scalability • Experience integrating data across complex product and business systems • Ability to navigate and improve an existing data environment without unnecessarily rebuilding everything • Strong technical judgment and ability to make architectural decisions with incomplete information • Ability to communicate complex data concepts clearly to technical and non-technical stakeholders • High ownership and comfort operating with significant autonomy

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