Senior Data Engineer

🕒 September 3

🇺🇸 United States – Remote

💵 $140k - $160k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 34%

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.

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Infinity Constellation

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2023

💼 Consulting

🏭 Manufacturing

📦 Logistics

Consulting • Manufacturing • Logistics

Infinity Constellation is the first AI Holding Company dedicated to helping elite founders build AI companies that can operate at unprecedented speeds. By leveraging advanced AI platforms, Infinity Constellation aims to reinvent traditional venture models, focusing on efficient structures that allow businesses to generate profits rapidly with minimal resources. The company supports its portfolio through various operational services, enabling founders to scale and thrive in the rapidly evolving AI landscape.

📋 Description

• Architect and implement end-to-end modern data platforms • Build scalable data pipelines, reporting layers, and AI data layers • Design data models for business, analytics, and AI consumption • Implement and operate production streaming and real-time systems • Scope requirements with client teams • Present architecture decisions and explain tradeoffs to stakeholders • Lead customer projects and implement client solutions • Act as a trusted partner to clients • Work directly with the CEO and alongside the senior team • Make architecture and implementation decisions across customer projects

🎯 Requirements

• Significant experience building production data systems, with senior-level ownership of architecture decisions • Deep understanding of modern data architecture and platforms • Production implementation experience with Snowflake, BigQuery, or Databricks • Hands-on experience building scalable and secure data pipelines • Experience with orchestration and transformation frameworks such as dbt • Experience with cloud infrastructure on AWS or GCP • Strong knowledge of data modeling approaches including Kimball, star schema, Data Vault, and OBT • Understanding of semantic layers, metadata, and governance for reliable LLM and agent consumption • Experience implementing streaming pipelines with Kafka, Flink, Redpanda, or similar • Clear communication with engineers, business stakeholders, and business leaders • Business orientation and results focus • Genuine interest in AI-driven data platform design

🏖️ Benefits

• Bonus • Medical, dental, and vision coverage • Unlimited PTO • 401(k) Plan