Staff Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

👻 Ghost score 14%

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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Nexus Cognitive

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2018

💼 Consulting

📣 Marketing

📦 Logistics

💰 Series unknown on 2024-07

Consulting • Marketing • Logistics

Nexus Cognitive is a composable intelligence layer and open data platform that sits above enterprise data systems to make data AI-ready without replacing existing infrastructure. It provides a universal query gateway, automatic enrichment, centralized governance, and a managed full‑stack service that enables rapid (30‑day) AI deployments, lower TCO, and enterprise-grade security and compliance. Nexus Cognitive powers revenue, customer, operational, and risk intelligence by unifying data across warehouses, lakehouses, and cloud platforms while preserving business context and minimizing tool sprawl.

📋 Description

• Define and drive the technical architecture and long-term roadmap for the company's data platform • Lead the design of large-scale, high-reliability data pipelines and systems spanning multiple teams • Set engineering standards for data modeling, testing, observability, and pipeline design across the organization • Mentor and provide technical guidance to senior and mid-level data engineers • Evaluate and introduce new tools, frameworks, and platforms to improve scalability, reliability, and developer velocity • Partner with engineering, product, and analytics leadership to align data infrastructure investments with business priorities • Lead root-cause analysis for complex, cross-system data incidents and drive systemic fixes • Represent the data engineering function in cross-org architecture and planning discussions

🎯 Requirements

• 7+ years of professional data engineering experience, including significant time designing large-scale data systems • Demonstrated experience leading the architecture of complex data platforms end-to-end • Deep expertise in SQL and at least one programming language used for data engineering (e.g., Python, Scala, or Java) • Proven track record of setting technical direction and influencing engineering standards across teams • Extensive experience with cloud data platforms, data warehousing, and pipeline orchestration at scale • Strong communication skills, with experience presenting technical strategy to both engineering and business stakeholders • Experience mentoring and developing other engineers • Experience building data platforms that support both analytics and machine learning use cases • Track record of leading major platform migrations or re-architecture efforts • Experience with streaming architectures and real-time data processing at scale • Familiarity with data governance, lineage, and compliance requirements • Prior experience in a Staff, Principal, or equivalent individual-contributor leadership role

🏖️ Benefits

• A collaborative team culture built on curiosity and respect • Challenging work where your contributions clearly matter • A leadership team that invests in learning and development • The opportunity to work at the intersection of cloud, data, and AI innovation