Senior Data & Analytics Engineer

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August 5

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MeshyAI

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AR/VR • Gaming • Artificial Intelligence

MeshyAI is a cutting-edge platform that enables users to generate detailed 3D models and animations from text prompts or images effortlessly. It offers various tools such as text-to-3D model creation, image-to-3D conversion, and AI texturing, making it an essential resource for game developers, 3D printing enthusiasts, and XR creators. MeshyAI aims to streamline the 3D design process with fast, user-friendly interfaces and API integrations, fostering creativity in a vibrant community of creators around the world.

11 - 50 employees

🥽 AR/VR

🎮 Gaming

🤖 Artificial Intelligence

📋 Description

• We are hiring a Senior Analytics Data Engineer to own pipelines, schemas, and statistical tooling that transform raw product events into trusted insights. • You’ll move comfortably between deep data‑engineering (CDC pipelines, event queues, object‑store reconciliation) and analytics craft (basic statistics concepts, experiment design, BI dashboards, and insights/analysis). • Your work will have a high impact and drive key decisions across data infrastructure, product, marketing, growth and finance. • Data Ingestion – Design, build, and maintain scalable ELT & CDC pipelines. • Schema Building – Develop and optimize ELT processes to ensure data quality and reliability using Delta Live Tables in Databricks; enforce data documentation, lineage, tests, monitoring, alerts, access control and data governance. • Metrics & Dashboards – Define key metrics and build visualizations in Tableau. • Deep‑Dive Analysis – Analyze business data to uncover insights that drive key business decisions.

🎯 Requirements

• 5+ years designing and maintaining data‑ingestion pipelines. • 5+ years designing analytics schemas and building ELT on modern data stacks (dbt, etc.). • 5+ years building data visualizations and analyses using Tableau, Looker, or similar tools. • Expert in data‑querying languages (e.g., SQL) and scripting languages (e.g., Python, PySpark, Java, Scala). • Strong statistical fluency and expertise in statistical inference for A/B tests, growth, and model analytics. • Demonstrated agility—quick to adapt, versatile across toolsets, and eager to learn. • Proven ability to communicate ideas and analyses effectively to both technical and non‑technical audiences. • BS or MS in Statistics, Data Science, Computer Science, Mathematics, or a related quantitative field.

🏖️ Benefits

• Competitive salary, benefits and stock options. • 401(k) plan for employees. • Comprehensive health, dental, and vision insurance. • The latest and best office equipment.